This is not new  that technology and big data have become universal  day-to-day operations of most businesses, nevertheless of size or industry. Data scientists, data analysts, and non-IT professionals with data analytics knowledge have become important  in their organizations’ hunt to transform raw data into workable and actionable formats that can be used to identify trends, draw meaningful conclusions, and model future result.
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What is data analytics in simple words?
Data analytics is the science of analyzing raw data to make conclusions about that information. The techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption.
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Data surround us | by the year 2020 about 1.7megabytes of new information will be created every second for every human being on the planet. In fact more data have been created in the last 2 year than in the entire previous history of the human race.
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We define Data Analysis as the process of evaluating data with the purpose of drawing conclusion to address business question .An effective data analysis provides a way to search through large structured and unstructured data to discover unknown patterns or relationship.
Data analytics involve the technologies system practices methodologies database statistics and applications used to analyze diverse business data to give organization the information they need to make sound and timely business decisions .
That is the process of data analysis aims to transform raw data in not knowledge to create value.
What is the role of data analytics?
What is the role of data analytics? Data analytics helps individuals and organizations make sense of data. Data analysts typically analyze raw data for insights and trends. They use various tools and techniques to help organizations make decisions and succeed.
Data analytics affects business
Data analytics could vey much transform the manner in which companies run their business in the near future because the real value of data comes from data analysis .With the wealth of data on their hand, companies use data analysis to discover the various patterns of their customers investigate anomalities that were not anticipated forecast future possibilities and so on.
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For example : with insight provided through data analytics companies could execute more directed marketing campaigns based on pattern observed in their data giving them a competitive advantage over companies the do not use this information to improve their marketing strategies.
How data analytics affects accounting in business
Data analytics is going to have exceptional effects on auditing financial reporting taxation and managerial accounting .
Data analytics in Auditing :
Technology will enhance the quality ,transparency and accuracy of auditing .Data analytics is expected to be next innovation in the evolution of the audit and professional accounting industry .
No longer will they be simply simply checking the error material misstatement fraud and risk in financial statement or merely be reporting their finding at the end of the engagement .Now audit professional will now be collecting and analyzing the company data similar to way a business analyst would to help management make better business decision.
Financial Reporting
Data analytics also potentially has an impact on financial reporting. With the use of so many estimates and valuation in financial accounting some believe that employing data analytics may substantially improve the quality of the estimates and valuations.
Data analytics may also allow an accountant to assess the probability of a goodwill write down warranty claims or the collectability of bad debts bases on what customers investors and other stakeholders are saying about the company in blogs social media .This information might help the firm determine both its optimal response to the situation and appropriate adjustment to its financial reporting.
Tax in Data analytics
Data analytics valuable for its ability to help tax staffs to predict what will happen rather than reacting to what just did happen So data analytics predictive analytics predicting future like how much tax to be paid by the company.