Big Data can be a double edged sword- expansive information about your customers, processes or products can help you grow and improve, but too much can bury you in cost and confusion. Here's four Big Data challenges companies need to be aware of.
Big Data is the next ‘big’ thing in computing. It generates value from different data sets that cannot be analyzed by using traditional computing methodologies. The amount of data being generated daily is growing exponentially-- as new data is being recorded, newer data is being created, previous data is being monitored, existing data is being modified and so on and so on. This obsession with data might seem absurd at first, but the practice of recording, evaluating and creating is ancient, and for good reasons. Retailers are building troves of data on the observed activity of customers and their next interactions, while organizations from logistics firms, financial services, health care, and other service sectors are striving to fill their own databases full of unique information.
Are you having trouble accessing the data you need? Or spending too much time accessing and assembling it? Or are you simply waiting for the data and analytics to tell you what to do? Your answer will determine where your organization is on the analytics maturity model, and where you may want to go next.
The full potential of Quantum Computing is still off in the future, but its ability to radically alter how we interact with data has scientist around the world pushing for the next breakthrough.
Gartner's latest Magic Quadrant for Business Intelligence software ranks Microsoft as the Leader. Here's how their Power BI solution emerged as the evolution of Excel, along with some clarity on the various components and product names which Microsoft has been using.
Users of MS Excel 2013 or above have BI capabilities built in with PowerPivot; a powerful, low-cost solution for collecting and analyzing your data. Here's a look how its implementation and productivity increasing abilities can be gained without investing too much time or money.
Resistance to change is understandable when it comes to the Database, but the many benefits of Microsoft's SQL 2016 should make any IT leader consider the upgrade.
Data and Analytics came together in the 16th Century catalyzing the scientific revolution. But today, Data has moved far ahead of its Analytic counterpart. Here's how they were brought together and what's needed to keep them from pulling apart.