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This article was published as a part of the Data Science Blogathon.

Introduction

Once upon a time, there was an individual trader named Anand. He was a novice in the finance industry, and like many traders, he struggled to find a consistent and profitable trading strategy. Anand was determined to improve and searched for new techniques to help him make better investment decisions.

One fine day, while browsing the Instagram reels, he came across a reel about the benefits of Exploratory Data Analysis (EDA) in the finance industry. Intrigued, he began researching EDA and how it could be applied to his trading.

Anand knew that to be successful in trading or investing; he needed to have a deep understanding of the market and the stocks. He gathered and analyzed data on his target stocks, using various data visualization techniques such as line charts, scatter plots, and bar plots to understand their historical performance.

As he delved deeper into the data, Anand discovered something unexpected. He found that the stocks he was interested in strongly correlated with certain macroeconomic indicators such as GDP, inflation rate, investor activity, etc. This realization sparked his curiosity, and he decided to investigate further.

He began to use EDA to gather and analyze data on macroeconomic indicators and their relationship to the stock market. Using this approach, Anand was able to identify market trends and make more informed investment decisions.

Excited by his newfound understanding, Anand began incorporating macroeconomic analysis into his trading strategy. With his new strategy in place, he could make more profitable trades, and his portfolio began to grow.

This story illustrates how EDA can be beneficial for individual traders; by providing a deeper understanding of the market and how macroeconomic indicators and stock performance are related, traders can make more informed investment decisions that can lead to better returns. EDA continues to be an important tool in the arsenal of individual traders or investors, allowing them to stay ahead in the market.

So, the question is, What is EDA?

EDA-Exploratory Data Analysis

There are several important parts of data science/analytics projects, but some key ones include:

    Defining the problem and determining the goal of the project

    Acquiring and cleaning the data

    Exploring and visualizing the data

    Choosing and training a model

    Exploratory Data Analysis (EDA) typically comes after acquiring and cleaning the data and before choosing and training a model. It is an essential step in understanding the characteristics of the data, discovering patterns, and identifying potential issues

    Exploratory Data Analysis (EDA) is an approach to analyzing and summarizing datasets, aiming to identify patterns, outliers, and other exciting data features. EDA typically involves a combination of visual and numerical techniques, such as plotting, summary statistics, and data cleaning. The main goal of EDA is to uncover insights and generate hypotheses about the data.

    During EDA, a data analyst/scientist will typically use various techniques, such as visualizations and statistical summaries, to explore the data. The goal is to gain a deeper understanding of the data’s underlying structure and identify any peculiarities or patterns that may be important for subsequent analysis.

    This understanding allows the data scientist to make better decisions about preprocessing the data, which features to use in the model, and which algorithms are most likely to perform well. It also enables the data scientist to identify potential issues with the data, such as outliers, missing values, or errors, that need to be addressed before training a model.

    How Can Investors or Trader Use EDA?

    There are so many ways an investor or trader can use EDA, but some unique ways are:-

      instruments to identify patterns and trends that can inform trading decisions.

      identify patterns and trends that can inform trading decisions.

      Market Correlation Analysis: EDA is used to analyze the correlation between different markets and financial instruments to identify patterns and trends that can inform trading decisions

      Sentiment Analysis: EDA is used to analyze news and social media data to identify patterns and trends that can inform trading decisions

      Backtesting: EDA is used to analyze historical data and test the performance of trading strategies before implementing them in real-world scenarios.

      Portfolio Optimization: EDA is used to analyze historical data and optimize the composition of a portfolio to achieve the best risk-return trade-off.

      Implementation Steps for EDA

      Here is a step-by-step process on how a trader or investor can use EDA:

      1. Gather the necessary data: Collect the relevant data to the investment decisions you are trying to make. This can include financial statements, stock prices, market data, economic indicators, and other relevant information.

      2. Clean and preprocess the data: Ensure that the data is clean and in a format that can be easily analyzed. This may involve removing missing values, handling outliers, and standardizing the data.

      3. Understand the overall structure of the data: Use visualization techniques such as histograms, scatter plots, and box plots to get a sense of the overall distribution of the data. This will help you to identify any unusual values or patterns in the data.

      4. Create hypotheses: Based on the initial analysis of the data, formulate hypotheses about the relationships between the variables and the potential causes of any patterns you have identified.

      5. Test hypotheses: Use statistical techniques to test your hypotheses and determine their validity. This may involve calculating correlation coefficients, conducting t-tests, or using other statistical methods.

      6. Interpret the results: Use the results of your analysis to interpret the relationships and patterns that you have identified. This can help you understand the patterns’ underlying causes and identify potential investment opportunities.

      7. Make informed investment decisions: Based on your analysis, make informed investment decisions. This can include buying or selling stocks, creating a diversified portfolio, or making other investment decisions.

      8. Monitor and iterate: Continuously monitor your investments and repeat the EDA process to identify new patterns and relationships. This will allow you to make adjustments to your investment strategy as needed.

      Python Libraries to Perform EDA on the Indian Stock Market

      Several Python libraries can be used to perform exploratory data analysis (EDA) on the Indian stock market. Some popular options include:

      1. Pandas: A powerful data manipulation and analysis library that can load, clean, and manipulate stock market data.

      2. Numpy: A library for working with arrays and numerical operations. It can be used in conjunction with Pandas to perform numerical computations on stock market data.

      3. Matplotlib: A plotting library that can be used to create visualizations of stock market data, such as line charts, scatter plots, and histograms.

      4. Seaborn: A data visualization library built on top of Matplotlib that provides an easy-to-use interface for creating visually appealing plots.

      5. yfinance: A library to download financial market data from Yahoo Finance. This can be used to download stock market data from India as well as other global markets.

      Here’s an example of how you can use the above-mentioned libraries to perform some basic EDA on Indian stock market data:

      To install the necessary libraries

      !pip install pandas !pip install numpy !pip install matplotlib !pip install seaborn !pip install yfinance

      Import the libraries:

      import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns import yfinance as yf

      Download the historical stock data for a specific company listed on the Indian stock market using yfinance library:

      # stock symbol for example symbol = 'RELIANCE.NS' # download the data data = yf.download(symbol, start='2010-01-01', end='2024-12-31')

      Clean the data and perform basic calculations:

      #drop unnecessary columns data.drop(['Open', 'High', 'Low','Volume','Dividend','Split'], axis=1, inplace=True) #rename the column data.rename(columns={'Adj Close':'Adj_Close'}, inplace=True) #calculate the daily returns data['returns'] = data['Adj_Close'].pct_change()

      Perform visualization:

      # plot the closing price plt.figure(figsize=(10,5)) sns.lineplot(data=data, x='Date', y='Adj_Close') plt.title(f'{symbol} Closing Price') plt.show() # histogram of returns plt.figure(figsize=(10,5)) sns.histplot(data=data, x='returns', binwidth=0.005) plt.title('Return Distribution') plt.xlabel('Returns') plt.show() Conclusion

      To summarize, exploratory Data Analysis (EDA) is a powerful tool that investors and traders can use to gain insights and make informed decisions. It allows them to analyze historical data and identify patterns and trends that ca heir trading and investment decisions. It also involves using a combination of visual and numerical techniques to explore and summarize datasets, with the goal of identifying patterns, outliers, and other interesting data features.

      Some unique ways investors and traders can use EDA include Technical Analysis, Volatility Analysis, and Macroeconomic Analysis.

      Technical Analysis uses EDA to analyze historical price and volume data to identify patterns and trends that can inform trading decisions.

      Volatility Analysis uses EDA to analyze volatility data to identify patterns and make predictions about future price movements.

      Macroeconomic Analysis uses EDA to analyze macroeconomic indicators and their relationship to the stock market to identify trends and make more informed investment decisions.

      Overall, EDA is an essential tool for individual traders and investors looking to stay ahead in the market.

      “I am wrapping up my blog. See you soon with another one!”

      The media shown in this article is not owned by Analytics Vidhya and is used at the Author’s discretion.

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      Digital Marketing For Financial Services

      Marketers face their own particular challenges when it comes to digital marketing for financial services

      It’s not exactly considered the sexiest of industries but digital marketing for financial services is a necessity – your customers are living in a digital world, so that’s where you need to be as well. The question is, how do you compete as a finance firm against influencers, funny viral videos, memes? How do you engage your audience and keep them interested?

      It can sometimes be difficult to know where to start, so, in this blog post, I’m going to share my top tips for financial services digital marketing.

      Before you get started with digital marketing though, make sure that your firm is in compliance with any online promotion laws; whether there are special regulations for running a contest on social media or for data collection, it’s always best to check and protect yourself.

      And now, let’s get into those tips:

      Start with an omnichannel plan

      Particularly for financial services digital marketing, where your online customer journeys are crucial to success, it pays to tie together your digital marketing goals, objectives and activity through omnichannel marketing planning.

      Our RACE Framework is a practical framework designed for marketers to manage and improve digital marketing across all key channels. Ultimately, it’s about using a data-driven approach, applying web analytics and recommended best practices to get more commercial value from your investments in digital marketing.

      RACE is customer-centric, focussing on the customer journey through Reach, Act, Convert and Engage (after your all-important planning phase!). That’s why it’s our number one recommended go-to planning framework for all marketers planning their digital marketing for financial services.

      You can find out more about the RACE Framework and other strategic marketing tools, proven to boost ROI from digital marketing, in our dedicated RACE Practical Digital Strategy Learning Path.

      Leverage social listening and monitoring strategy

      Learning more about your audience: social media provides a wealth of interesting data about your customers – not in an invasive way but rather more about their needs and interests as a whole, and other relevant information like where they spend most of their time online, what channels they prefer, and what kinds of content they like. This then helps you choose the right social network and shows you how you can better engage your audience through content

      But just because you don’t see these mentions, that doesn’t mean they don’t exist – and, in fact, could potentially be damaging your reputation. Social listening allows you to catch any mention of your brand as soon as it happens so that you can respond as soon as possible.

      Recommended social media marketing next steps

      To ensure you stay on top of your social media strategy, we recommend utilizing our dedicated Social Media Marketing Learning Path which is structured with tools and training to optimize how you use social media to acquire more customers. With modules such as:

      Social listening

      Customer service and success

      Influencer marketing

      Is your Financial Services business competing online?

      With so much competition, you need to stand out. Use the RACE Growth Process to win more customers

      Get started now

      It’s not all business communications, all the time

      Every company has its own set of brand guidelines – some more serious, others cheekier – but it’s important to remember that a very big part of communication is keeping your customers engaged.

      Whether that’s being occasionally funny, or getting a little personal, or sharing some behind-the-scenes shots, it’s completely up to you and your guidelines what’s appropriate and what isn’t.

      For example, on the American Express Instagram account you’ll often see photos of delicious meals:

      Or, they take pictures of American Express cards and beautiful places all over the world:

      Use these types of communications to help humanize your brand and to entertain your followers; for example:

      Behind the scenes images and videos from your offices, events, company meals, and so on

      Images of foods, drinks, etc. from a company meeting, event, or lunch

      Photos of beautiful landscapes or sceneries

      Memes that are relevant to the finance industry

      Photos and videos of participating in fun Internet challenges

      Recommended content marketing next steps

      Whether it’s social media, SEO, email, or print, your distribution is pointless if you don’t have strong content to persuade your customer to make that all-important purchase.

      We recommend utilizing our dedicated Content Marketing Learning Path, which is structured with tools and training to optimize how you use social media to acquire more customers, with modules such as:

      Understanding consumer keyword behavior

      Make the case for investment in content marketing

      Building cornerstone content

      Is your Financial Services business competing online?

      With so much competition, you need to stand out. Use the RACE Growth Process to win more customers

      Get started now

      Get personal: leverage your customers for awesome digital marketing for financial services

      Earlier, we covered types of content that aren’t exactly business-related, but oh-so-popular on social media.

      But what about when you need to get a little more serious? It can’t be all fun all the time, but it can also be difficult to come up with engaging digital marketing that is relevant to financial services.

      Plus, you want to be able to promote your business too. One of the ways you can do this is to tell a story – in this case, a story about your customers:

      Take a photo of your customers or what they achieved (like a new home, for example) and then write a text update – or a short blog post – where you share their (preferably happy) story

      Take a video of your customers talking about their story; for example, how they are saving money or how your business helped them, and so on

      Create a series: alternatively, you can even build a whole series of images and videos following some of your customers. For example, it could be their journey to saving enough money for a particular project they want

      User content will help humanize your brand and will show your fans and followers how your company can help them to improve their life and their lifestyle. Critically, these options are just one example of how your financial services company can expand your reach and convert more customers using digital marketing. The options are endless, and we have solutions to help you find the right path to achieve your vision.

      Digital marketing for your financial services business

      But, by utilizing omnichannel digital marketing tools and techniques effectively, you have unprecedented opportunities to connect with your audience in a more meaningful way, engage them, and grow their trust in your business.

      Want to win more customers?

      Record Financial Year For University

      Record Financial Year for University Bond rating agency Moody’s upgrades BU’s outlook

      BU has had a string of record-breaking years financially, generating $157.5 million in operating reserves during fiscal 2024. Photo by Cydney Scott

      Boston University ended the last fiscal year with record operating reserves and a record sum of cash gifts from a record number of alumni. Those results cap a string of strong years that have in part led Moody’s Investors Service to revise BU’s rating outlook from “stable” to “positive.”

      The University generated $157.5 million in operating reserves when fiscal 2024 closed June 30, a 12 percent increase over the previous year. Those funds support the academic mission of BU, with approximately $100 million earmarked to support physical plant renovations and expansion across the University, such as the Center for Integrated Life Sciences & Engineering and the new studio theater and production and education facility for the College of Fine Arts, says Derek Howe, BU’s vice president for budget and capital planning.

      The remainder of these reserves are funds generated as part of revenue-sharing agreements with the University’s various schools and colleges and provide support to the academic and research mission of the University. Examples include upcoming initiatives such as the General Education program, the common core required of undergraduates across all academic programs, starting with the freshman class entering in 2023, Howe says.

      “Fiscal 2014, 2024, 2024 were all record years for reinvestment into the University,” he says.

      Martin Howard, senior vice president, chief financial officer, and treasurer, says BU’s financial health reflects the University’s growing reputation and increased interest on the part of student applicants—as witnessed by the growth and quality of the undergraduate applicant pool and the recent growth in graduate enrollments—as well as its fundraising and sponsored research funding (which mostly comes from the federal government). More than half of the University’s operating revenues is from net tuition and fees.

      Sponsored research revenue totaled $307 million in fiscal year 2024, a small increase over the previous year. That’s noteworthy “in this extremely competitive environment for research funding,” Howard says. BU’s admission in 2012 to the Association of American Universities, a consortium of 62 leading public and private research universities, bolstered the University’s positioning for research support, he says.

      Howe says that BU’s efforts at operating efficiently also played a part in its financial situation, adding, “We are always looking for continuous improvement.”

      The University’s financial performance contrasts with that of many peers. “The trends at Boston University are more impressive in the context of stagnant or declining operating trends for many rated institutions of higher education,” says Howard.

      Moody’s revised outlook for BU signals the potential for a credit rating upgrade if these financial trends continue. The credit rating measures an institution’s ability to repay borrowed capital; the higher the rating, the easier it is for the University to access debt capital at lower borrowing costs. BU’s current rating is A1. (Moody’s ratings range from Aaa to C, with numbers added within each grade for further differentiation.)

      In revising its assessment of the University’s rating outlook, Moody’s report cited BU’s “improved ability to invest in strategic initiatives and grow financial reserves through strengthening cash flow, monetization of real estate, and fundraising combined with a moderate reduction of liquidity risks in its debt portfolio” while noting “its organizational culture of continuous improvement and benchmarking for driving operational efficiencies and strategic use of resources.”

      On the fundraising front, BU enjoyed a record $157 million in cash gifts from more than 51,000 donors in fiscal 2024, says Scott Nichols, senior vice president for development and alumni relations. Nichols says fiscal 2023 is off to a hotter than usual start as well. The first quarter of every year, July through September, “is usually the worst of the year for us,” he says. Fundraising during the first quarter in recent years averaged $14 million. This year, he says, BU raised $35 million, with a big boost from two large gifts over the summer of $8 million and $10 million.

      Since April 2010, all gifts to the University have been part of its comprehensive Campaign for BU, with a goal of $1.5 billion by its end in 2023. When the last fiscal year closed in June, $1.045 billion had been raised.

      Nearly 300,000 gifts have been given to the campaign so far, including 167 gifts of $1 million or more. That exceeds the number of gifts that size given to BU between its founding in 1839 and the start of the campaign, Nichols says.

      BU recently made the CASE 50, the list of the world’s top fundraising universities compiled by the Council for the Support and Advancement of Education. To crack the list, schools must meet several criteria, among them having had a $1 billion campaign. That was the University’s original goal, and when it was met in April, the Campaign for BU upped its target.

      Explore Related Topics:

      Financial Risk And Its Types

      Financial risk is the probability of losing money on an investment or business endeavor. Operational risk, credit risk, and liquidity risk are just a few examples of the various types of financial hazards. Financial risk is the possible loss of capital to an interested party.

      What are the Risks?

      Risk is the possibility of an unanticipated or negative consequence. Risk can be defined as any action or behavior that raises the possibility of a loss of any kind. There are various risks that a business could face and need to handle. Business risk, non-business risk, and financial risk are the three categories into which hazards are generally divided.

      Business Risk

      To increase earnings and shareholder value, businesses take these kinds of risks on their own. For instance, businesses launch new products with high-risk marketing strategies to boost sales. The possibility of a product or service failing and causing losses to the owner and the shareholders, is called business risk.

      Non-Business Risk

      Businesses are unable to control this category of hazards. Non-business risk is a word used to describe risks that result from political and economic imbalances.

      Financial Risk

      As the name suggests, financial risk refers to a risk that could result in a company losing money. Financial market instability and losses brought on by changes in stock prices, currencies, interest rates, and other factors are the main causes of financial risk.

      What is Financial Risk?

      The probability of financial loss while making an investment or starting a business is called financial risk. Operational risk, liquidity risk, and credit risk are a few of the more prevalent and distinct financial hazards.

      A form of risk known as financial risk has the potential to cause interested parties to lose money. Governments that are unable to control monetary policy may end up defaulting on bonds or other debt obligations. Corporations may fail in an endeavor that puts a strain on their finances while also running the risk of defaulting on the debt they take on.

      The inability to control monetary policy and/or other debt-related difficulties is referred to as financial risk in government sectors. Learn more about the relationships between different sectors, such as business, government, markets, or individuals, and financial risk.

      Types of Financial Risks

      Financial risk is a result of market fluctuations, which can be influenced by a variety of causes. As a result, we can divide financial risk into a variety of categories, including market risk, credit risk, liquidity risk, operational risk, and legal risk.

      Market Risk

      Changes in the prices of financial instruments are what cause this type of risk to arise. There are two types of market risk: directional risk and non-directional risk. Changes in stock prices, interest rates, and other factors can all have an impact on directional risk. On the other side, the non-directional risk may be connected to volatility threats.

      Credit Risk

      This type of risk arises when one does to fulfill their obligations to counterparties. Two types of credit risk are sovereign risk and settlement risk. Foreign exchange policies that are challenging to implement often result in sovereign risk. However, when one party pays while the other does not uphold the commitments, settlement risk arises.

      Liquidity Risk

      This kind of risk results from a failure to complete transactions. Liquidity risk comes in two flavors: financing liquidity risk and asset liquidity risk. When there aren’t enough buyers or sellers to fill buy and sell orders, respectively, liquidity risk arises.

      Operational Risk

      Operational failures like bad management or technology mistakes cause this type of risk. Two types of operational risk include fraud risk and model risk. Lack of controls and improper implementation of models both increase the risk of fraud.

      Legal Risk

      This type of financial risk results from legal consequences like lawsuits. Legal risk arises whenever a business must deal with monetary damages resulting from legal actions.

      Risks to Businesses’ Finances

      Why do firms run the danger of losing money? Multiple macroeconomic factors, shifting market interest rates, and the potential for default by sizable organizations or sectors can all contribute to financial risk. People who own businesses incur the danger of losing money if they make choices that will make it difficult for them to make payments on their obligations or earn an income. For their constant expansion, businesses frequently need to look for funding from other sources. The company or business seeking the money and the stakeholder investing in the company’s business both face financial risk as a result of this funding requirement.

      Market Risks Associated with Finance

      Given the variety of factors that might affect them, financial markets are frequently a center of financial hazards. When a crucial market sector experiences a financial crisis, it has an impact on the overall market’s financial situation. The global financial crisis of 2007–2008 provides evidence of market risk. Businesses started to fail, investors suffered huge losses, and the government was pressured to change its monetary policies.

      Benefits and Drawbacks of Financial Risk

      The benefits and drawbacks are listed below −

      Advantages

      Growth − Risk is a necessary component of doing business, and organizations may need to obtain money through debt to grow and enter a new market. Although it may seem like a burden to the business, financial risk must be accepted if a company is to perform well and increase revenues through development and expansion.

      Investors and management should be aware − Investors and management should take specific action to prevent further harm when there is financial risk.

      Evaluation of value − Financial risk in particular enterprises or projects aids in income evaluation through the risk-reward ratio, which indicates the value of a given company or project.

      It is simple to comprehend the function of risk involved in the organization when financial risk is examined using various ratios.

      Can have catastrophic effect − When it comes to the government, financial risk can result in bonds and other debt from financial institutions defaulting, which might harm the nation and the world economy in the long run.

      Not under our control − Financial risk that cannot be controlled by a company operating in a certain market, such as risk resulting from international variables, natural disasters, war, changes in interest rates, and changes in governmental policy.

      Long-term consequences − If the financial risk is not properly managed at the correct time with the right tactics, it can harm the business’s finances and reputation as well as cause investors and lenders to lose faith in it. It can be difficult for a business to recover from such setbacks.

      Impact − The entire industry, market, and economy may be affected by financial risk.

      The bottom line

      Individual, business, and governmental finances all take some level of financial risk in order to grow. If used and handled properly, such risk can be a sign of progress and result in success. Financial leverage measures, such as interest coverage ratios, debt-to-asset ratios, and debt-to-equity ratios, are used in business to determine how much debt a company is carrying in the market. When managed with revenue growth and business expansion, financial risk can be beneficial. However, if not handled correctly, it may result in the company’s bankruptcy and loss for the business’s investors and lenders.

      Power Bi Financial Year To Date Calculations

      In this tutorial, I’m going to talk about Power BI financial year to date calculations. Achieving a year to date analysis of a selected period is quite complex, but I’ll demonstrate to you a formula technique that enables you to quickly create a cumulative total over your specific financial year. You can watch the full video of this tutorial at the bottom of this blog.

      I’m going to work with a simple model here. It’s pretty generic, but don’t get too caught up in the specific measures. The techniques are all the same especially if you’re doing financial year over anything like sales, quantity, revenue, costs, transactions, or forecast, for example. It’s all the same technique. You just need to sub-in the correct core measure into the actual pattern or formula combination.

      So let’s dive into it.

      First, I’m going to set up a generic table, so we can look at the data itself. I’m going to bring in my core calculation, which in this case is Total Sales. Getting things into tables, to begin with is key.

      Now I’m going to show you how to do this financial year total. I’ll go create a new measure and call this Sales FYTD (financial year to date).

      I’m going to use the CALCULATE function, which changes the context of the calculation. So I still want to calculate the Total Sales, but only for a financial year to date. This enables me to select what my financial year is, and then always be accumulating the amounts up to the end of the financial year.

      Then, I have this time intelligence function called DATESYTD (dates year to date), which returns a set of dates in the year up to the current date. If I don’t specify something specifically for my financial year, it’s literally going to do the entire calendar year. And so, I put my Date column in there.

      And then I want to specify the actual financial year. So maybe my financial year ends in June, right? But, it could also be at the end of March. So in this example, I put 31st of the third as the end of my financial year.

      I push enter and I’ll drag this measure into the table, and you’ll see here that it is working out the financial year results. Now, remember that this can make it a bit tricky. I selected here on the slicer a calendar year, which is 2024. And so we’re actually seeing March 31st of 2024 as the end of the 2024 financial year.

      Sometimes it’s easier to look at this within visualizations. So I’ll create an area chart here and you can see that we come to the 31st of March 2024, which is the end of our financial year.

      A better way to set this up is to have a financial year within the slicer. It makes more sense. In my Date table, it looks like there’s a financial year already embedded.

      And so, I’ll go to Transform Data and work out the financial date that was embedded into this Date table. In the Advanced Editor, you can see that this is a Date table that enables you to specify the financial year, and here it started in July. So let’s just go with that.

      So I’ll go back to the formula and change the financial year-end to the 30th of the sixth. This way, we can align the actual financial year of the Date table.

      With that, you can see the results in the visualizations changed as well.

      Then, I’m going to bring in my financial year (FY) in the slicer instead of my Year. You’ll see that if I select one of these, it’s going to give me just the cumulative total for that particular financial year.

      I can also do a multi-select and the results in the visualization changes as well.

      You can also utilize the Analyst Hub really effectively here. This is where you can format your calculations well. Just go to DAX Clean Up App.

      Then you can paste the formatted formula back into your model like so.

      Now, if you want to have the ultimate Date table, I highly recommend you go to the Enterprise DNA forum and into the M Code Showcase. Here you can find the Extended Date Table (Power Query M function). I myself use this Date table pretty much in every development that I do.

      And as you can see, it has a lot of views already. It’s one of the most popular pages on our site.

      Calculating a Power BI financial year to date is just this easy. You could also do quantitative financial year to date or anything else at all. You just branch off from a different core measure and utilize the same technique.

      As soon as you become familiar with calculating time intelligence functions, you’ll discover how amazing Power BI is. All the best with working through this one.

      Cheers!

      Sam

      V2R Limited: Transforming The Financial Industry With Ai

      Artificial Intelligence (AI) is a powerful tool that is widely deployed in financial services. It has a great potential for positive impact if companies deploy it with sufficient diligence, prudence, and care. AI in financial services enhances efficiency and productivity through automation; reduces human biases and errors caused by psychological or emotional factors and improves the quality and conciseness of management information by spotting either anomalies or longer-term trends that cannot be easily picked up by current reporting methods.

      The Journey from Inception till Today

      Registered by the UK in May 2023, V2R was originally set up as a business support service in finance and project management but the company took an ethical stand to support start-ups and SME’s globally by developing startup programs and offering one-stop-shop into the only digital ecosystem platform any business needs.  

      The Visionary Leaders

      The new company’s vision is co-created by Stephane Metral and Paul Young who are offering a wide array of creating innovative solutions crafted together in a constantly evolving Unified solutions platform. Stephane is the digital ecosystem architect behind the platforms made available to enable embryonic and new companies to have the tools all in one place to manage and run their business at an easily affordable cost. In addition, the company’s business support services give assurance in specialist areas such as finance. Paul is a talented, value-driven professional who is a visionary and strategic leader with the ability to translate business strategies to realize and maximize outcomes always with the best interests of all stakeholders. He is an expert in delivering a positive change through a collaborative program approach, focused on people followed by process and technology. He possesses strong financial and IT expertise including budgeting, analysis, ERP delivery, and architecture design. He is also very much of a people person; a qualified Servant Leadership Coach ensuring alignment of values with goals and empowering people to live their life and enjoy their work. Paul has been a proven deliverer of significant efficiencies whilst maintaining quality.  

      Paving the Way to Innovation

      V2R’s solutions & services are using AI/ML and RPA at their core, not theoretical but actual application of these tools to support businesses to manage and make better decisions. An example would be the use of AI/ML in sales lead generation supports businesses to better identify their ideal client. Or leave management approvals, any human-made decision that can be modeled & designed. The platforms & solutions are constantly learning and using flow charts & mind map tools to convert this mindful thought of business models into business logic and a framework design for business. V2R delivers the only available 100% open API platform in 12 languages that encompass the whole business life-cycle that enables seamless communication and collaboration. With over 370 integrations at the moment, it has many tools enterprises need all at a competitive monthly subscription for what is on offer to kickstart your business journey. It makes tools available to start-ups and SME’s that previously would be a considerable budget drain. For the same activities performed by the HubSpot tools for $2600 per user monthly, Unified solutions, for example, do the equivalent for ten times less, clients can reallocate budget elsewhere that is most needed (on HR resources for example).  

      Facing the Challenges Head-On

      The major challenge faced by V2R was to get the message out to the world and especially those embarking on their ventures. It is an interesting dynamic dealing with entrepreneurs and their single-minded focus and the challenge to widen their views. The company had difficulty explaining that it is not developing AI/ML products (to be replicated or to get inspiration from to develop a variant of its own) it has and one that actually uses this tech.  

      The Success Quotients

      V2R is at the early stages of development so far and customer feedback has been positive, and it has every business tool companies could ever need. It has made collaborating and communicating seamlessly within their businesses and have eased their workload burden with the underlying AI and ML. As a result, the adaptability and flexibility of the platform mold their business. Investors and Capital ventures can monitor the progress done through strategy to execution with their investments.  

      The Future with Artificial Intelligence

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