Businesses are moving towards becoming a true “Data Driven Enterprise” and are committed to improving data-driven decisions. Increasingly, enterprises are formulating analytic strategies to drive insights, finding new patterns and relationships in data, understanding why certain things happened within their business, and forecasting the future. Self-service analytics has become an integral part of the core enterprise analytics strategy due to the increasing number of tools available for data visualization and data preparation.
The right information for the right stakeholder at the right time:
The ability to take action based on up-to-date information rather than a gut feeling or last week’s report is increasingly important to decision- makers regardless of their role – it’s not a question of growth but survival. Traditional approaches to business intelligence (BI) delivery fail to meet business needs especially on – Agility, Speed and Total Cost of Ownership (TCO). Read more →
Most Organizations today aspire to be a data driven company but what exactly does it mean and what does it take you to get there? I am going to put my thoughts here based on my interactions with several of the mid size companies(less than a billion in revenue) in United States.
As we have seen in the last few years, the term “Big Data” was going through its hype curve and most of the leaders thought (still thinking I guess) that “Data Driven Enterprise” is all about Big Data. To be “Data-Driven” means creating a Read more →
Whether you are a small business or a Fortune 500, you have invested heavily in your Data. Your business partners need the right information at the right time on any device. There is no question that you need to make the maximum use of your Data. However, it depends on how much investment you can make and what will be your return of investment. So you need to plan it as a journey and move forward in a step-by-step approach. Datalakes Platform is designed to hand hold Read more →
Big Data is a term used to describe a massive volume of both structured and unstructured data that is so large that it’s difficult to process using traditional database and software techniques. Big data—large pools of data that can be captured, communicated, aggregated, stored, and analyzed—is now part of every sector and function of the global economy.