Real business solution you can get from data science analysis. Your sales is the main requirement. No sales means no business. Data Analytics helps to boost your organization sales. Real Advantages of Data Science My presentation here gives you complete business picture of data analytics , and skills companies expecting from analytics team. Data analytics -The data can be from web, user devices, own databases and Social media AI -Delivering products based on artificial intelligence Big data -Data of any format and you need to make ready for analysis. You can understand patterns of people You can explore current market You can explore solutions to Agriculture You can show answers to weather Predicting the disaster like earth-quake  Data Analytics what else you can read Data Analytics from Srinimf | Tech.Jobs. Biz.Success Also Read Uses of Data Analytics from HBR

There is no surprise in India, all companies started building Data analytics team and infrastructure. With a lot of Indian companies building their data analytics team, the requirement in the domestic market for this skill will increase over the next couple of years. The requirement for Data Analytics  There will be an increased demand for data analytics professionals. Industry experts believe that currently big data and analytics is one of the top three skills in demand in India.  Organizations are looking at their internal set of data to understand the business better – as a result, there will be an explosion of various job opportunities in this area. Top three segments where huge demand for data analytics engineers are Data Science, Statistics, Technical specialists with multiple skills. Top Demand Roles in Data Analytics Some of the requirements are for tech personnel, statistician, econometrician, data scientist, analytical consultant, functional consultant, etc

Retail market is changed now. So many companies now open shops across the world. Every business owner tries to increase sales. This is possible with analytics. Retail Analytics The study also includes an in-depth look at how best-in-class retailers use analytics, as well as the business analytics software vendor landscape. Walmart started retail business in India. So the real use of data analytics started now. References Download here

SAS is providing solutions for banking. Getting away with financial crime just got harder. The latest SAS Financial Crimes Suite arms institutions to detect potential suspicious activity more efficiently than ever. A new customer due diligence solution within the suite more accurately detects changes in a customer’s risk profile. Enhanced anti-money laundering and case management capabilities also make it easier to have a complete view of threats across an institution’s financial crimes investigation unit. “A comprehensive view of potential threats will help in efforts to thwart criminals from successful attempts of hiding illicit funds,” says James Wester, global payments research director at IDC Financial Insights.  “A technology infrastructure with customer risk rating and high-performance analytics will help speed detection and investigation in all channels.”. SAS Analytics Suite for Banking Crimes Today’s rigorous regulatory environment requires banks to move quickly

Every industry has its own particular big data challenges. Banks need to analyze streaming transactions in real time to quickly identify potential fraud. Utility companies need to analyze energy usage data to gain control over demand.  Retailers need to understand the social sentiment around their products and markets to develop more effective campaigns and promotions. Analytics solutions help organizations take control of big data and uncover the insights they need to make the best decisions. IBM has Analytics Solutions in various lines: Banks: Apply analytics to improve customer experiences and operational efficiency, and integrate risk into daily decision making. Communication:Uncover insights about customers, network performance and market trends to make better business decisions. Retail: Build lifetime customer relationships by meeting demands for innovative products while containing costs. Education: Make more informed decisions to improve student performance an

I was gone through an email from my friend saying that they are creating a Hadoop project to analyze voters data. This project in my view is both academic and research oriented. The real challenge was extraction of voter info from 2.5 crore PDF pages and translation of the same into English to fuse with other sources. The technology was a big hurdle.  Hadoop Project The infrastructure, built especially for the project, included 64 node Hadoop, PostgreSQL and servers that process a master file containing over 8 Terabytes of Data. Besides, Testing and Validation was another big task. ‘First of a Kind’ Heuristic (machine learning) algorithms were developed for people classification based on name, geography etc., which help in the identification of religion, caste, and even ethnicity. Data from Sources “Data from multiple sources like census, economic and social surveys were mapped to polling booths. Simultaneously, external and propriety data sources had to be fused wit

Many participants in the Analytics seminar expressed opportunity in preparing algorithms for predictive analytics. You Need Algorithms Why Using these algorithms, businesses can make better data-driven decisions by extracting actionable patterns and detailed statistics from large, often cumbersome data sets. Many business people small to big expecting some kind of algorithms. So that they can save their precious time in predictive analytics. As per IBM What are Good Benefits of Right  Algorithm Transform data into predictive insights to guide front-line decisions and interactions.  Predict what customers want and will do next to increase profitability and retention.  Maximize the productivity of your people, processes and assets.  Detect and prevent threats and fraud before they affect your organization.  Measure the social media impact of your products, services and marketing campaigns.  Perform statistical analysis including regression analysis, cluster analysis and