In a world where competitive advantage hinges on timely insights, having the right data at the right time is no longer optional, it’s mission-critical. Whether you’re powering AI models, forecasting sales, or refining customer experiences, the underlying requirement is always the same: reliable, high-quality data. Yet, businesses today face an overwhelming volume and variety of
The past decade has been the most powerful in terms of shaping the world of business intelligence. Data with enterprises is huge. Data has to be secure. It’s time to start speaking the language of big data and metadata. The best decisions are driven by the right analytics fetched by analysts from the big data.
“It is expected that the big-data market will be worth $46.34 billion by 2018.” Big data is in a constant mode of evolution. It has created huge leaps of growth for businesses who have been using it. The massive increase in the volume, variety, and velocity of data showcases that big data will definitely encounter
“ Did you know 44% of Businesses Experienced Migration Failure?” — As per Vision Solutions 2016 State of Resilience Report. While this alarming statistic portrays a bleak picture of wasted efforts that leads to a huge drain on budget and resources, but at the same time blurts out an obnoxious fact that data migration
