If you still are unaware of the power of data analytics even after the success of the movie Moneyball, then you might as well be living under a rock. Yes the book by Michael Lewis transformed the way sports administrators can identify low-performing players by using data analysis rather than the conventional techniques. This was the first time something as analytical and core-academic was used in the field of sports and that too for something as substantial as selecting players.
But today data analysis is used in almost every aspect of our lives than just the way we like our favorite teams in popular sports. The basic idea behind statistical analysis is to determine meaningful patterns within a given set of data. This discipline is slowly edging its way into every conceivable business avenue these days whether big or small. The main elements in this field are data (that are available easily these days) and highly powerful computer programs that are used to analyze it and draw valuable insights from it. This field has completely changed the way we perceive information and make decisions. Historically these analysis tools have helped companies take decisions on how they should position themselves in new market ventures as well as place their new products.
For instance, ecommerce start-ups that house some of the smartest minds in the business are using expert statisticians to analyze Big Data with state-of-the-art data analysis tools to generate useful deductions from otherwise dull numbers and decimal points. Whether it is the heavy shifters in the logistics market or simply consumer durables and other fast selling products, companies are using data analysis to predict trends, deduce pricing patterns and are leveraging themselves with a revolutionary use of data analysis tools. Also in the sports world data analysis is behind big decisions like who to draft in a team to what should be the in-game strategy to marketing budget. Movie studios also employ analysis tools to calculate box-office generations and to even predict which movies will be a hit and which ones will be a flop.
Therefore, it is highly unlikely that data analytics would not make its way into the field that generates the highest number of data i.e. finances. The worlds of finances are all about numbers and so data analysis is an integral tool that has been used as an operational instrument in this field for a long-time now. While data analysis has been used in the financial world for several years globally, it is still fairly new to the Indian markets. Until now Indian markets only used data analysis tools in brokerage firms for slicing orders and for minimizing the impact cost of sales and purchases. But data analysis can also be used for mitigating frauds in money laundering, risk analysis and management and for rogue trading.
But currently the stock market is also on the verge of boarding the Big Data analysis train which is known as ‘Quants’ amongst the industry insiders. The basis of decision making in the stock trading market holding the hands of Data Analysis is to choose on the basis of history repeats itself theory. So the analysis tools are used more for technical analysis. The trend of analyzing data on the verge of the result season is slowly transforming as realizing valuable insights and patterns in data has somewhat a knee-jerk effect for the analysts and experts associated with the field. Hence, it is understandable that data analysis is making its way into the core practices of how we trade finances. So, it is understandable that the new key player in the market is data analysis or in other words also known as power computing. As the market experts have realized that using data analysis tools with precision will only increase their trading capabilities while enriching their funds in the process, so it is highly recommended for market participants to join the coveted team of data analysts to harness the true potentials of data.
In India the leading data analyst training institute in Delhi, NCR is DexLab Analytics which offers industry-oriented training courses in data analysis, Big Data Hadoop and other statistical analysis tools used in the market currently.
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