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Last year was one of rapid change, and 2023 shows no sign of this trend slowing down.

Economies and markets have changed, how consumers behave has shifted, search algorithms are being updated, the SERP results are evolving, and the scope of what we do as Enterprise SEO professionals is growing.

As organizations focus on aligning operations with a laser focus on the customer experience, understanding how consumers behave at both the macro and micro levels has become an enterprise SEO imperative.

For many, it always has been. However, the unpreceded shift and challenges brought about by the global pandemic mean that the monthly historical snapshot has given way to a pressing need to keep a daily pulse on trends in real-time.

Using data, technology, and market trends to their fullest potential will help organizations realize new opportunities.

From real-time insights into market demand volatility through to granular details into how consumers are searching online, there is a wealth of data to be activated.

Marketers can no longer rely on old forecasting models, no matter how complex, detailed, or pretty they look.

Enterprise marketers now need to understand the pulse of the market so they can dynamically adapt to both expected and unexpected events in their vertical.

In doing so, you can bridge the gap between assumptions of what will happen and what the current, real-time reality has proven to be.

Being Aware of What Is Going on in Your Broader Markets

However, working in large enterprises requires a shift in mindset towards understanding not just the business, but the broader market and economic implications that may affect how you tailor your strategy.

Overall market factors shape short, mid, and long-term strategies.

Utilize models such as PEST analysis to understand what is going on in the market from a political, economic, social, and technological perspective:

Political – Brexit, elections, laws, and regulations.

Economic – COVID-19 restrictions, industries that are gaining or losing.

Social – Consumer behaviors, attitudes and culture, fashion and shopping trends.

Technological – Developments and innovations to help better understand the above.

Combining Business & Search Intelligence to Understand the Pulse of the Customer

In many ways, search is the voice of the customer.

Search queries contain intent signals, SERP analysis shows how customers like to consume content, and keyword reports help us produce content that resonates.

Granular search data can tell us much about what consumers are doing, what they care about, and how they think.

Keeping a daily pulse on new insights impacting your market and on what is changing in the SERPS on a daily basis should be of mandatory importance for those who want to benefit from fresh, new opportunities.

For example, a slight ranking change on high search volume-based keywords can impact revenue in a big way in just one day. During important seasons (especially in retail), subtle category-related demand shifts will require granular action.

New product launches require daily monitoring so stakeholders can see the daily impact and make adjustments to the offering.

As market fluctuations and consumer emotions drive new types of demand, marketers are under pressure to develop an even more in-depth understanding of their customers’ preferences while understanding market trends.

More and more marketers need to truly understand their customers and use this understanding to drive new experiences that resonate with consumers.

Utilizing search trends and combining this with business intelligence findings means marketers can find new patterns and opportunities at both a macro level and implement strategies at the most granular level.

This also helps you rapidly respond to dynamic changes in current and upcoming consumer behavior.

With business intelligence powered by search insights, companies can make sound and strategic decisions to achieve their goals, be it understanding what their customers really need or by predicting their future demands.

The relationship between BI and search is symbiotic and can dramatically improve ROI.

Utilizing Business Intelligence to Understand and Visualize the Pulse of the Market

More than ever, organizations are looking for business intelligence (BI) to transform data into insights that can quickly be acted upon. BI enables enterprise SEO professionals to easily analyze insights for larger-than-usual data sets to uncover new opportunities and highlight campaign strategy inefficiencies.

Here is an example from my company:

This type of intelligence can tell you what is happening now and what happened in the past.

Many types of business intelligence can help deliver digestible snapshots of the current state of what is happening in your market, not just for SEO but also for digital, sales, product, and customer service functions.

It can help show what product attributes are most important, price sensitivity fluctuations, brand preferences, and inventory needs, and more.

This can be visualized via daily dashboards, visualizations, and custom-based reports and can be used to:

Analyze industry trends in real-time.

Visualize category demand and inventory in real-time.

Compare historical data to what is happening now.

Create and forecast based on predictive modeling.

Aggregate different sources of data.

Identify new buyer trends.

Find inefficiencies in product or pricing strategy.

Find key correlations between search activity and external market factors.

Plan for seasonality.

Evaluate marketing campaign effectiveness.

Conclusion

Going forward into Q2 of this year, Enterprise SEO success lies with the ability to understand the pulse of their entire industry landscape and being agile enough to quickly change search strategies and tactics based on real-time insights.

Over the last year, Enterprise SEO has become front and center of digital marketing strategies.

To keep ahead, SEO professionals have to become more agile in their approach to understanding market trends and their customers.

Technology can help provide insights with both breadth and depth so you can execute search and inform digital campaigns with speed and high precision.

As a collective community of SEO pros, we all need to keep a close eye on the pulse of the market and be prepared to respond to new conditions in an instant.

Both markets and consumers are giving us clear signals of intent on a far more regular basis.

Those that combine business intelligence and search insights to uncover and act on those opportunities will propel their SEO even further forward this year.

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The Enterprise Mobility Management (Emm) Market

Enterprise mobility management (EMM) is the collection of processes, technologies, and people responsible for managing remote devices and mobile networks for enterprises.

EMM solutions allow enterprises to control and set use policies for employee- and corporate-owned mobile devices that have access to company data.

See below to learn all about the global EMM market:

See more: The Unified Endpoint Management (UEM) Market

In 2023, the EMM market was valued at $200.3 billion. It is estimated to be worth $233.7 billion by 2028, following a compound annual growth rate (CAGR) of 35.95%.

Several geographic regions are driving growth in the EMM market:

The U.S. market

is estimated to reach $48.53 billion by 2027, following a CAGR of 26.8%

The Asia-Pacific market is predicted to maintain a CAGR of 24.2% from 2023 to 2027

The China market is expected to reach a value of $1.8 billion by 2027

Japan is expected to maintain a CAGR of 25.5% from 2023 to 2027

The banking, financial services, and insurance (BFSI) industry is expected to hold the largest market size for the EMM industry from 2023 to 2026. Other industries in particular creating EEM demand include:

Manufacturing

Retail and consumer goods

Health care

Life sciences

EMM tools are used to monitor work-related activity, apps, and data on mobile devices owned or given to employees. It can be considered an umbrella term, combining various features and applications depending on the company’s needs:

Mobile device management (MDM) software allows companies to track and manage the life cycle of their employee-owned devices. MDM solutions cover everything from laptops and tablets to smartphones and smart gadgets.

Mobile content management (MCM) tools manage and control the access privileges of employees to company content through their personal devices. MCM solutions aid the company in achieving its security and privacy goals.

Mobile identity management (MIM) software offers zero-trust, access management, and identity verification features for employees using personal and company-issued devices. MIMs use multiple verification strategies, from multi-factor authentication (MFA) to biometrics and device-specific information. 

Mobile application management (MAM) solutions allow for the deployment, monitoring, and patching of company mobile apps that employees regularly use for work. This includes app configuration, app life cycle management, license management, and inventory management.

Using EMM solutions come with benefits for enterprises, in terms of security, privacy, and centralized control of company assets. 

Other EMM benefits include:

Enhanced security and privacy

Increased employee productivity

Reduced operations costs

Fast and efficient access to information

Centralized management of employee devices

Allows for bring your own device (BYOD) programs

“Enterprise mobility management (EMM) is a solution designed to help enterprises manage mobile devices on their networks,” says Robert Morcos, a member of the Forbes Technology Council.

“Settings are set from a single device and pushed out to any and all devices on the network. There is no need for third-party staging, since the EMM platform manages devices remotely.”

See more: Mobile Security Trends

EMM tools and solutions are highly flexible and can adapt to a company’s specific device management needs.

Here are examples of how companies are using EMM tools:

Brookstone is a chain of retail stores in the U.S. and China. It offers a variety of goods for its consumers, ranging from furniture and home accessories to electronics and smart gadgets. 

As a brand, Brookstone is dedicated to providing the best possible shopping experience for its customers. With over 200 stores in the U.S., Brookstone’s IT team was looking for a centralized solution to improve the visibility and management of mobile devices. 

With Cisco Meraki, Brookstone’s IT team is now able to log into a single management dashboard to gain complete visibility into all device locations and working conditions.

“My goal as an executive is to bring our services to a higher level and do it better, faster, and for less: the Meraki tools allow us to do that,” says Doug Reczko, operational VP of IT, Brookstone.

“[Brookstone’s team] fell in love with the Meraki technology, especially the ease of use, accessibility, and how simple it was to set up.”

Garuda Indonesia is the official airline of Indonesia. It serves over 40 domestic and 36 international destinations as one of the world’s leading regional airlines. Annually, the airline sees more than 25 million passengers.

Garuda Indonesia has an “iPad in the Aircraft” approach, where the pilots of a couple of plane models use tablets to access apps by Airbus and Boeing. It sought a solution to help it keep track of the added devices on flights.

“IBM MaaS360 provides a reliable and sophisticated way to manage mobile devices and content. Productivity increased by nearly 50% for our pilots and 30% for operations staff,” says Sulistyo Nugroho, operation publication control coordinator, Garuda Indonesia.

“Pilots can find the information and perform calculations in five minutes that before might take 10-50 minutes.”

With IBM, Garuda was able to increase productivity by 30% for operations staff and FAA and IATA regulations.

Some of the leading vendors in the EMM market include:

Sophos

Citrix

IBM

Vmware

Microsoft

Kandji

Scalefusion

Codeproof

Hexnode

Ivanti

See more: Top UEM Software

How Does The Grey Market Effect Business With Its Types?

Introduction to Grey Market

Let us first clear the confusion between the grey markets, the black market, and the grey economy. Usually, people miss interpret and estimate all the three to be the same, however, there is a difference amongst the three.

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Grey Market: Sales of legal commodities or goods through a distribution channel that are also legal however not intended for sales by the original manufacturer is called selling in the market.

Grey Economy: Economy or goods and products that are not taxed or monitored by any form of the government comes under the grey economy. This is a very informal type of economy.

Definition

This term that is ‘The Grey Market’ is also spelled as ‘The Gray Market’ however the meaning is the same and it has the same definition. Let’s read the definition given below.

To be precise this is a market where the products and goods are bought and sold outside the, not within the original manufacturers authorized distribution channel. You can also refer the Grey Market to selling and importing products by dealers that are not authorized by the manufacturer; however, the selling activity is not illegal still it is unofficial.

OR

In a Grey Market Brands that are sold are genuine these goods are also known as Grey Goods are sold not within the authorized distribution channel by authorized Market dealers, in fact, these products are sold in an unauthorized sales territory by unauthorized Market dealers. These products are sold at a lower price than the price of the same product sold in the authorized sales market and by authorized Grey Market dealers.

Explanation of the Term Grey Market

Well, the above statements have made the term quite clear. However, let’s still try to understand the same better.

The market is also known as the parallel market. The reason behind calling it the parallel market is because the products or goods are sold in a distribution channel that is not authorized by the manufacturer of the goods, this system forms a parallel distribution channel for buying and selling of goods that created two different prices for the products in the market.

Not confusing the term with the black market or the grey economy is important. The most important factor here is that the market deals with legal goods or grey goods that are sold in an unauthorized distribution channel by unauthorized dealers who are not permitted to sell the products by the original manufacturer of the products.

Most of the times these legal products are sold through an illegal distribution channel, the channels are either individual distributors or small companies who are not authorized to sell the products by the manufacturer of the product. The reason for selling in the market is selling the product at a lower rate than the rate available at the authorized dealer through the authorized distribution channel. Or selling of products in a country where the product is not available.

Types of Grey Market

Did you know that there is a variety even in the grey market? What I mean is that the market has types. Let me explain them in brief.

The original market where the legal products are sold through unauthorized distribution channels. This is where new products are sold. Mostly the market deals in new and original products.

At times it is difficult to differentiate between the new and the used goods in the market. The market where used goods are sold is also called the green market.

And the third type of market is also called the dark market. The dark market deals in secretive and unregulated trading of commodities such as crude oil.

The grey market and its explanation is now very clear. Now we need to understand this market even better by understanding, what causes give birth to the grey market? How does it affect the market, the industry, and the manufacturer? What are the pros and corns of the market? And finally, how can we prevent the loss?

So let’s begin with what gives birth or the causes of Grey Market. Unauthorized retailers gain in the grey market because of the following reasons:

1. Low Price Competition 2. Price Difference in Different Countries

Manufacturers offer different prices or different costs for the same product in different countries. This is one of their strategies to maximized profits on the basis of the demand for that product in that particular country. The grey marketers are aware of the same and purchase goods from the country they get the products at a lower cost and sell them at a low cost in the host country. This creates different prices for the same product in the host country.

3. Blocked Distribution

Some manufacturers block a few distributors from selling their products; however the distributors want to sell the product of the manufacturer, hence they buy the product from the grey market. This is where they buy the product from a cost lower than the price set by the manufacturer. This involves buying a product at a lower cost and distributing the goods though an illegal distribution channel.

4. Sales Targets

The manufacturing companies do enforce huge sales targets on their employees especially their sales team. This creates sales pressure and that is how in order to meet grey market sales targets the employees sell these products in the grey market. This gives rise to the buying and selling of a product in the grey market from a sound business.

5. High Product Cost

Some premier products have a very high selling price, some are overpriced, some are costlier than their competitors, etc. in order to sell their products and balance grey market sales in the market, the companies do sell their products into the grey market to keep their products selling and rolling.

How does the Grey Market Effect Business? 1. Affects Profitability

In the grey market, the goods are sold at a lower cost than the cost decided by the company. The company sets the prices bases their calculations of profits. When goods are sold at a lower cost the company’s profitability is affected.

2. Brand Reputation

Products of the grey market do not come with a guarantee backed by the company. If the products sold in the grey market do face an issue with its performance the name of the brand will be affected.

3. Cannot Guarantee the Product

As discussed earlier that in the grey market it is very difficult to differentiate between the new products and used ones. You never know what the grey marketer might sell to you an original new product or a used one. Trusting the grey market might also not be as easy as it seems.

4. Multiple Market Prices 5. Effects the Government

Grey goods are goods that are sold without tax charges. Taxes are applied to both buying and selling of the products. An increase in the transactions puts the government to loss.

Pros and Cons

Customer’s Point of View:

Products are available at a cost lower than the normal market price.

Products that are not available in the market in a specific country are also made available in the market.

The goods available in the grey market do not come with a guarantee or a warranty from the company.

The grey goods are not trustable as you never know if the products supplied are used or new products.

Grey goods do not have an after-sales service available for the products.

The customer cannot differentiate between the original and the duplicate product in a grey market.

Products not made as per the specific audience is sold here

Companies, Industry, and Nations Point of View:

The companies that sell very high-value goods for an exorbitant value can also supply their goods through the grey market to increase the sales of their products.

To meet the sales targets the employees sell the products through the grey market in order to reduce the cost of the product.

The company’s brand image and reputation come at stake for the grey marketers can also supply products that are not original

Products are sold without taxes which is why the government loses out on a collection of taxes.

The product has a dual price in the market due to parallel marketing or parallel imports.

The company cannot guarantee the products bought from the grey market.

Business relationships and client confidence are at stake because the grey market is used to distribute the products in the market.

An increase in the transaction of the grey market does affect the economy and the turnover of the industry. This affects the market in the industry.

Customers lose their trust on the company products as they do not get the quality they have paid for.

The products are sold out of the manufacturer’s authorized distribution channel.

Everything above states that company the industry and the nation suffer a huge loss due to the parallel market the loss is not just monetary, it is also a cost to the reputation and the brand image which is much costlier than the monetary gains and losses.

How to Avoid the Losses?

Every problem in this world has a solution and hence the problems that arise in the market can also be taken care of by working ways out to stabilize or sorting these problems out. Let’s see how.

The company should set a single cost policy for its products.

The companies in the industries need to increase their distribution channels in order to avoid grey marketing.

Strict terms and conditions for distributors.

Track the distribution channels and distributors and the stock rolled out to them.

Manage manufacturing costs in order to stabilize the cost of products and reduce selling costs in comparison to their competitors.

Control over the product supply market needs to be kept by the company and the distributors.

Set realistic goals for the employees of the company especially the sales team to avoid selling the same in the grey market.

Recommended Articles

This is a guide to Grey Market. Here we discuss the Introduction to Grey Market, types of grey market and the pros and cons of grey market. You can also refer to our other related articles to learn more –

10 Companies That Are Hiring Business Intelligence Professionals In India

Companies like Deloitte, Dell, and EA are hiring business intelligence analysts

Business intelligence is an important aspect of digital transformation.

1. Consultant – Business Intelligence

Company – Deloitte Location – Hyderabad Seniority level – Associate Job Summary The Business Intelligence Services practice at Deloitte consists of highly trained investigators with extensive commercial and public sector experience in conducting in-depth investigations in the context of due diligence, fraud, asset searches, litigation support, and other matters. Responsibilities

Conduct background investigations.

Pre-Transaction Due Diligence including background investigations of Executives and their companies.

Access a broad range of open source information and public records.

Obtaining objective and detailed information about the third party.

Asset Searching and Tracing.

Investigating the backgrounds of opposing parties in order to help focus litigation strategy, etc.

Qualifications

Either MBA with 1-2 years of work experience in research or BA LLB or equivalent degree

Exceptional Research, Writing, and Analytic skills.

Professional demeanor and strong communication skills, both written and oral

Ability to effectively summarize legal records, media articles, and Internet websites and/or posts.

Strong grammar skills and command of the English language.

Proficiency with MS Office (Excel, Word, and PowerPoint) & Internet search strategies.

Preferred qualifications

Experience with domestic and international public records, databases, and Internet sources. 1+ years of investigative experience with a private investigative firm or equivalent professional services firm

Fluent in reading, writing, and speaking a foreign language is highly desired (including, but not limited to Spanish, Chinese, or Russian).

Flexibility regarding potential international travel requirements for client service projects.

2. Senior Business Intelligence Analyst

Company: Noon Location: Gurugram Seniority level: Mid-senior level Responsibilities

Identifying the problem, and structuring it to deliver the desired outcomes independently.

Build, develop and maintain data models, reporting systems, dashboards, and performance metrics.

Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization, and communication outputs.

Interpret and report results for various growth aspects to relevant stakeholders.

Assist the Marketing team in leveraging data for effective decision-making.

Qualifications

Excellent analytical skills and problem-solving capabilities.

Advanced Excel/Google Sheets knowledge.

Knowledge of Programming Languages – R/Python preferred.

Experience in the e-commerce industry is preferred but not mandatory.

Individuals with a strong desire and passion for e-commerce.

A dedicated individual who has the drive to constantly learn and come up with new ideas.

An individual who has strong problem-solving and team skills.

An individual who works collaboratively and is comfortable working in a dynamic and fast-paced environment.

Avid curiosity and passion to take on tough challenges.

Ability to multitask and work on a diverse range of requirements.

3. Senior Data Analyst – Business Intelligence

Company: Grofers Location: Gurugram Seniority level: Mid-senior level Responsibilities

Own top-level company metrics that act as a single source of truth for the core performance of the business.

Collaborate with business teams to understand their requirements and propose holistic solutions.

Take ownership of the development of such solutions, including planning, execution, communication, and adoption of the tools developed.

Guide the development of insightful reports and dashboards that allow the organization to transfer to data-driven governance.

Act as a subject matter expert in all facets of building warehouse models, including architecture, storage, interaction with BI, etc.

Qualifications:

4-7 years of experience in creating structured Fact-Dimension based Data Warehouses, including building from the ground up.

Experience working with a variety of data formats (SQL, NoSQL, XML, and JSON) and transforming them into a relational database structure.

Expertise with OLAP SQL Databases like AWS Redshift and knowledge of optimizations best practices etc. Knowledge of Big Data technologies (Hadoop, Hive, Spark, Impala) is a bonus.

Ability to optimize ETL processes by using incremental loading to create fact/summary tables.

Experience with job orchestrators like Airflow, knowledge of best practices.

Knowledge and experience with creating and maintaining visualizations on BI Tools like. Tableau, PowerBI, etc.

The development of Python tools to facilitate data analysis, knowledge of R or Java is a bonus.

Debugging and trouble-shooting expertise.

Passion for solving challenges demonstrated innovative thinking and problem-solving skills.

Strong analytical skills; Understanding of Finance, Economics, or Management Control is a big plus.

Attention to detail with a drive for results.

4. Business Intelligence and Analytics Visualization Analyst

Company: Boston Consulting Group Location: New Delhi Seniority level: Associate Job Summary As a member of the team, you will interact extensively with a diverse range of stakeholders from across the business, both geographically and functionally. The role sits within the overall Global Financial Planning & Analysis team, coordinating and working with the company’s Analysis, Planning, and Reporting teams will play a large part in this role. Responsibilities The Business Intelligence & Analytics Visualization Analyst will work as an integral part of an agile team. You will be responsible for developing, enhancing, and maintaining a suite of dashboard products that will be leveraged globally by BCG’s business leaders and executive teams. Working as part of an agile team, this role will interact with the business to understand use cases, create prototypes, iterate on the design and launch of digital reporting and analytic products. Qualifications

3-5+ years Tableau Development experience required (Tableau certification is preferred as either Qualified Associate or Certified Professional).

Hands-on experience designing, developing, implementing, and supporting dashboard reporting solutions

Experience supporting an analytics transformation including profiling legacy reporting and providing next-generation solutions that simplify the end-user experience while providing greater insights.

Knowledge and understanding of designing and implementing report security solutions both within tableau server and database-level security concepts.

Experience with data preparation tools including Alteryx and Tableau Prep and basic proficiency in SQL language to access and profile data required.

Exposure to additional data visualization tools including PowerBI and Looker.

Basic finance knowledge of financial statements including P&L, Balance Sheet, etc. is preferred.

Experience working with agile development methodologies and ceremonies.

5. Business Intelligence Analyst

Company: Cotiviti Location: Telangana Seniority Level: Associate Responsibilities

Performs ETL functionality in support of reporting.

Performs Data Modeling and develops Data Warehousing solutions.

Performs technical troubleshooting, code debugging, and problem-solving for custom-built data warehousing solutions.

Assists in implementing effective business analytics practices that drive improved decision-making, efficiency, and performance.

Communicate with non-technical business users to determine specific business requirements for reports and business intelligence solutions.

Communicates regularly with technical, applications, and operational staff to ensure database integrity, security, and optimized performance at the application and database level.

Identifies, communicates, and resolves data quality and data reconciliation issues.

Participates in and supports all planning and problem resolutions.

Performs independent audits and reviews and validates databases to ensure data integrity.

Develops and enforces standards and procedures for the storage and retrieval of institutional data.

Qualifications

Strong analytical and troubleshooting skills.

Knowledge of SQL and data warehousing concepts.

Experience with Oracle SQL and PL/SQL.

Strong SQL scripting abilities and understanding of complex stored procedures, views, data aggregation/manipulation through table join/queries, database design, normalization, and denormalization techniques.

Demonstrated detailed knowledge of BI areas including ETL design, analytics, and reporting.

Experience with visualization tools such as Tableau and/or MicroStrategy.

Possesses strong oral and written communication skills, clearly and accurately communicating complex and/or technical information to both technical and non-technical audiences.

Self-motivated; able to work within a project-based environment.

Ability to work in a team and agile environment.

A Bachelor’s degree in a relevant field.

2-3 years in business intelligence and data warehousing environments.

2-3 years of experience with ETL processes and tools.

6. Business Intelligence Analyst

Company: GSK Location: Bengaluru Job Summary Once selected,  you will partner with the VEO Operations group to drive highly efficient and effective reporting and dashboarding across VEO. You will have to take the lead accountability for the development and maintenance of the VEO reporting hub, from concept to delivery, and drive operational excellence in reporting and analytics within VEO. Responsibilities

Develop a good understanding of the VEO business and VEO data model.

Understand the fundamentals of the data sources:

What systems does VEO interface with?

How is the data pulled from these systems?

How can the pull from each system get automated and (eventually) integrated to form the comprehensive baseline data set?

Build VEO reports and dashboards.

Embrace newer BI technologies such as Power BI to bring a modern look and feel to reporting and dashboards.

Take complete accountability for the generation and accuracy of the raw meta-data required for the VEO activity tracker data generation. Ensure the transformed data is then represented accurately using the available tools (Power BI, Excel, etc).

Proactively identify areas of improvement for reporting and analytics within VEO, especially during key business-critical periods such as PIB or year-end summaries.

Understand and resolve data quality issues encountered by VEO and provide highly interactive reporting capabilities to profile and resolve these.

Build Forms to allow end-user request submissions e.g. the NSR template.

Qualifications

Bachelors/Masters degree in Business, Science, Finance.

Highly effective communicator to be able to deliver clear and effective messages orally and in writing to a variety of stakeholders from peers and project teams to senior management.

Ability to work independently and manage large sets of data and find meaningful inferences, collating and analyzing complex or diverse information skillfully, and conceptualizing solutions and alternatives.

Deep understanding of database structure, data connection/joins, and keys.

Flexible thinker

Self-starter is willing to seek out solutions and ask appropriate questions to further their knowledge.

Strong team player and contributor to teamwork and team initiatives

Knowledge of the principles of quality, safety, risk management, and compliance (ICH and GCP).

Ability to understand and appreciate the value of diverse perspectives and drive innovative solutions to complex problems.

Business or study operations experience.

Excellent interpersonal skills, including the ability to establish and maintain good working relationships with peers, colleagues, and management.

Ability to work across boundaries and drive the integration of new ways of working.

Good organizational, time planning, and prioritization skills.

Preferred skills

Power BI (Advanced)

PowerApps and Power Automate

SQL

PowerPoint

Advanced Excel

7. Business Intelligence Senior Analyst

Company: Dell Technologies Location: Bengaluru Job Summary Responsibilities

Deep dive and correlate data, formulate conclusions and provide summary overviews to business leadership.

Supervise trends and elevate issues accruing due to data variances.

Interact with customers to set expectations regarding report availability and SLAs.

Generate reports and recommendations based on analysis and proactively communicate status to the customer.

Exercise considerable judgment and take initiative in assignments to resolve problems and make recommendations and resolutions.

Qualifications

Expertise and experience using the following tools & technologies:

Intermediate knowledge/experience with warehousing/big data environments: Teradata, Hadoop, GreenPlum etc.,

Intermediate knowledge/experience with relational databases: Microsoft SQL Server (T-SQL, SSIS, SSAS), Oracle, MemSQL etc.,

Intermediate knowledge/experience with Microsoft products: Excel, PowerPoint, PowerBI.

Ability to build reports and perform analytics.

2 to 5 years of related experience in a professional role.

8. Business Intelligence and Analytics Lead

Company: BARC India Location: Mumbai Seniority level: Mid-senior Responsibilities

Work and communicate closely with the partnership team in understanding the insight needs of the organization and its clients.

Work closely with Market Analytics and partnerships by providing understandings, generated through raw level data, of the reason for shifts in viewing for various data queries generated through the BARC membership.

Oversee and manage the development of insight white papers, presentations, and reports generated through raw level data ensuring that BARC continues to provide value added insight to its stakeholders.

Support Vigilance in the analysis of suspected households.

Developing rich and deep understandings of various forms of syndicated and non-syndicated viewership data.

Qualification 7-10 years of experience in the research and Analytics industry  

9. Lead Business Intelligence Analyst

Company: Electronic Arts (EA) Location: Hyderabad Job Summary You will lead a small team of analysts and will be the driving force for analytics in Pogo. You will report to the Live Services Lead and will be part of the product team. You are a sharp , curious person who has a passion for diving into data and building models to understand how players are interacting with our games & features. You will produce insights that will help guide design on games, platform and live services to improve acquisition, retention, and monetization for Pogo. Responsibilities

You will lead and mentor analysts, providing guidance on technical and communication skills for their analyses and projects.

Establish and grow the skills and practices in your team to create an outstanding analytics function.

Blend analytical rigor with product knowledge to accomplish deep dives (as needed) and deliver actionable recommendations for product teams.

Using various analysis techniques, model trends in our data to predict the ways in which new content, features and campaigns will affect the economy, performance, and our player experience.

Develop analysis frameworks to measure and evaluate the impact of features, systems, and promotions.

Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and validate your results.

Develops player clusters based on behavioral patterns, which will be used to customize features and content and improve the player experience.

Translate problems into structured analyses or data products that directly create actionable insights that maximize value.

Partner with engineers and feature owners to design and set up robust telemetry for Pogo that enables high-quality analysis and reporting.

Ensure a high degree of rigor and quality in all projects and ensure that processes are adopted and best practices are shared.

Qualifications

BA or BS in Economics, Mathematics, Statistics, or related fields.

5+ years experience in an analytics role using data to help guide decisions, preferably a consumer products-oriented industry – gaming, social networks or entertainment is preferred.

3+ years hands-on experience in data mining, machine learning, or statistical modeling.

2+ years of people management experience.

Experience analyzing very large (web scale), complex, multi-dimensional data sets.

Experience with visualisation and analytics tools such as Tableau and Google Analytics.

SQL skills, including experience querying complex data sets on a platform such as Redshift.

Experience presenting to people at various levels of business and technical expertise, including the ability to simplify difficult technical concepts.

10. Business Intelligence Analyst

Company: Schneider Electric Location: Bengaluru Seniority level: Associate Responsibilities

Lead marketing value report production in order to support marketing teams using Business Intelligence tools.

Lead lifecycle management (PM0, O2, GRT, COS, PIM, ORLM).

Lead digitalization offers data and contributes to offering master data.

Deploy and animate tools and platforms to process data and support marketing and strategy teams.

Manage high quality up-to-date item master data, taking care of all the evolutions of new launches.

Ensure on time and high-quality data extraction from ERP systems to enable management reporting on commercial performance every month.

Be the champion of various transformative processes: annual offer optimization (killing part numbers that don’t sell), vitality index and others.

Formulating presentations for status reporting, and sharing recommendations with Senior Management is a key part of the role.

Qualifications

Engineering, Technology or Business degree with 5+ years of experience in business, marketing or business intelligence.

Digital acumen – able to understand and integrate a variety of digital tools (databases, excel documents) to produce a synthetic analysis.

Expert in the usage of Excel, including the ability to use excel functions and macros and proficient in other digital tools. SQL programming ability is a benefit.

Knowledge of Schneider Electric is a strong benefit.

Data analytics skills as well as synthetical presentation skills (written and verbal). Ability to present to executives within an external to the company.

Structured & organized; able to build realistic and actionable plans to improve and deliver on business reporting.

Team Player – passionate and dynamic leader with the energy and ability to obtain alignment and work effectively across a complex, global matrix organization. Team Builder – able to motivate and gather across key initiatives.

Accustomed to fast-changing, complex and ambiguous environments.

Autonomous & takes initiatives.

Ryan Lynch: Introducing Modern Sales Intelligence Solutions Through Strategic Business Planning

Business leaders know data is at the heart of enterprise development and growth. But how they use that data is what distinguishes companies from their competitors. That’s where sales and marketing intelligence come in. The data generated from these areas translates to lead generation and stronger connections with target audiences. By anchoring the needs of businesses in data-backed sales strategies, Kforce provides business leaders with the right solutions to meet their goals and make an impact on the global economy.

Kforce is an award-winning solutions firm that specializes in technology and other professional staffing services. The company’s customer-centric solutions enable world-class, outcome-driven results. Kforce’s team is comprised of experts who understand the intricacies, challenges, and pain points that business leaders encounter daily. The company delivers the best possible results so that leaders can deploy development and growth strategies throughout their organizations. This team approach in tackling the largest challenges for the world’s most prominent companies is just one reason Kforce’s solutions group has become the go-to team for innovation.

A People-First Leader Simplifying Technical Problem Solving 

Ryan executes his job with a people-first approach and always keeps client value at the forefront. In his 10 years with Kforce, Ryan has earned the firm’s annual top performer award seven times. He is also a 2023 Dick Maddock award recipient. The Dick Maddock award is the highest honor an individual can receive at Kforce.

A Paradigm Shift in Client Engagement Platform 

Ryan describes Sales Intelligence Strategy as bringing together seemingly disconnected data sources to provide targeted, client-specific solutions. This takes the best parts of staffing and consulting services and packages them in a way that accelerates a business’ ability to address change. In addition to keeping his eye on an ever-evolving approach to the market, Ryan established a client engagement platform to track, manage and grow Kforce’s partnerships with each successful project. He also refined the sales pipeline and management process. These are just a few of the reasons Ryan has been tapped to explore how this innovation can make a difference across all aspects of Kforce. 

Kforce’s Evolution as a World Class Solutions Firm

Growth and innovation are key elements in the staffing and solutions industry.  Kforce relies on its people’s unique ability to identify and shape next-generation solutions. This is an unsurpassed differentiator in the eyes of its customers, resulting in more than double the number of solutions team members over the last two years. The COVID-19 pandemic and sweeping technology upgrades are just two examples of how the industry is constantly changing. Ryan’s leadership and innovative nature helps the firm better serve its clients. This industry-leading approach identifies more effective workflow opportunities and helps clients quickly adapt to change.

Technology as a Backbone Across Business Operations 

The first step of Sales Intelligence Strategy is to evaluate the opportunity. Working with clients during upfront discovery shortens the delivery timeline while increasing quality. This process is counter to standard industry practices but has proven highly effective. Ryan and the solutions team have been able to help clients reduce hiring times by up to 85% and execute their most challenging technology initiatives, including moving to the cloud, rebuilding enterprise data warehouses, and reimagining customer interactions and experiences. The Sales Intelligence Strategy helps clients maximize their spend, decrease their time to market and mitigate risk while obtaining world-class outcomes aligned to their organizational objectives.

A New Beginning for Limitless Changes  Soaring High with Innovation 

Artificial Intelligence: How Can Patients Benefit?

Machine learning (ML), although widely used in many industries is still a new application of AI in healthcare. AI has recently moved from academia and research labs to hospitals.

AI can be used to evaluate risks and make informed diagnoses. It also performs precise surgical procedures. AI is used in all medical specialties, including rural care and surgery prioritization. It can also be used for drug discovery or survival analysis.

Artificial Intelligence in Healthcare – Important Patient Benefits

AI is a key area of healthcare that has seen significant benefits.

Public Health & Big Data

AI excelled at analyzing big data from healthcare organizations. AI allows for rapid analysis of data. Data allows for proactive risk assessment and narrows gaps in public healthcare. It also explains how genetics, behavior, and environmental factors impact population health.

Combining this information with diagnostic data gives AI a holistic approach to patient treatment protocols.

AI is an important tool for population studies. It can predict at-risk populations using genetic, behavioral, social, and other factors. AI has enormous potential in public health. Healthcare institutions are now using it to provide more personalized, data-driven healthcare to patients and improve outcomes.

Clinical Decision Making

The differential diagnosis for any disorder in medicine is enormous. To get a definitive diagnosis, a differential diagnosis requires time, labor, money, and effort. This process has been greatly simplified by AI.

Machine learning algorithms are able to diagnose definitively faster than traditional methods and can do so with greater accuracy. AI has been used in clinical diagnosis to reduce errors and speed up treatment for serious medical conditions.

AI-Assisted Surgery

Another area in which AI excels is in robotics surgery. Electronic technology has led to robots capable of performing delicate surgery. Although the surgeon is still in control of the robot, the robot can perform micro dissections and reach delicate areas that are impossible to access with the human hand.

Robot arms can move with precision and perform complex tasks on the brain or heart with pinpoint accuracy. This reduces blood loss and minimizes complications. All data from robotic surgeries can also be saved, which can aid in learning and training surgeons.

Accessibility and Better Healthcare Delivery

Rural residents often have difficulties accessing specialist care. People would need to travel long distances to get to specialists because of the lengthy wait times. Patients can be inconvenienced and it can lead to high costs.

AI allows primary care physicians to evaluate patients with any type of medical disorder, regardless of whether they are in a city or rural area. AI robots can scan for eye disease and send images to specialists who will recommend a treatment. Patients can receive treatment immediately and the diagnosis can be made quickly.

Primary care physicians can now effectively triage patients in rural areas who require urgent treatment or those that can be managed well by using AI.

In the end, rural residents can have access to digital AI infrastructure that allows them to receive faster care and state-of-the-art medical diagnoses.

Artificial Intelligence in Healthcare Helps to Reduce the Shortage of Specialists

Although there are plenty of primary care doctors, specialists are not always available outside major cities. AI can help with diagnosis in low-resource areas by interpreting imaging studies such as chest x-rays and CT scans. PET scans are also helpful.

Primary Care Physicians don’t need to wait days or even weeks for a reading from the radiologist.

Optimize Efficiency

Healthcare institutions are complex, with many patients and huge amounts of data. They also have extensive interconnected systems and processes. This can lead to inefficiency, long wait times for patients, and even missed appointments.

Data has shown that AI can rapidly scan through large amounts of patient information within the electronic medical records and ensure that no patient is forgotten or missed an appointment. AI can also prioritize services based upon available resources, and optimize workflows to improve revenue cycle performance.

Both Inside and Outside of Healthcare Institutions, Artificial Intelligence is a Huge Part of Healthcare.

AI has enormous potential in healthcare, both within and outside of healthcare institutions. Hospitals are constantly facing financial challenges. AI can be used to compensate for rising healthcare costs and operational inefficiencies. AI and other technologies will improve the availability and delivery of medicine, as well as patient outcomes.

Automated Machine Learning (AML), Aids Data Analysis Processes

Automated Machine Learning, or AML, is a great way to automate data analysis. AML is a method that automatically selects algorithms, visualizes the results, and provides better interpretation.

Data Analysis is More Precise in Guiding Decision Making

Machine learning algorithms and processes can be used to make healthcare data more valuable to clinicians to aid in their decision-making. This can improve patient survival and mortality, as well as the diagnosis and treatment.

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