Analytics

Data Deluge: Managing Demand-Supply Pressures Demands within data and analytics are variable and characterized by frequent changes. Constantly questioning and challenging data keeps the analytics process active and adaptable. Hence, businesses are pouring trillions into enhancing their data-driven approaches. However, as per a McKinsey survey, only 8% manage to expand their analytics strategies effectively to

We highlight Top 5 Business Intelligence Tools as suggested by Gartner and ask critical questions that can help organizations make better and informed decisions. As per a recent study by Gartner entitled “The Future of Decisions”, 53% of respondents agree that there is a higher expectation for them to justify or explain their decision. Further,

Many businesses are turning to Cloud analytics since it has enticing features and functionalities that benefit them. Many new analytics tools, ecosystems, and capabilities in the Cloud can be quickly leveraged to test, pilot, and roll out new offerings. As a result, many businesses seek Cloud service providers who can assist them in allocating resources

Do you know that the mobile handset manufacturer Nokia once sold rubber boots? Wonder what’s the reason behind christening such off-beat name for oil major Shell? If your intuitions picked up the images of sea shells when you heard of it, you are bang on! There are many such stories behind today’s big names as

Robust and disruptive, blockchain has been garnering the attention of not just IT experts but even the non-technology enthusiasts. Blockchain is in its initial stages of development and blockchain experts believe that it can significantly impact the business community in near future. However, reports indicated that certain enterprises are still in a dilemma as to

Business-led operations are demanding agile analytics solutions. Are you applying agile principles and practices in all aspects of business operations? A recent study by Gartner predicts the global business intelligence and analytics market will reach $18.3 Billion in value this year, an increase of 7.3 percent over last year, and the market will grow to

Churn Analytics is used to identify the customers who are most likely to discontinue using the services / product. This is applicable horizontally across various industries like Telecom, Banking, Financial, Retail etc. Why Churn Analytics is important: As the competition among the industries is growing day by day, the cost of acquiring new customer is

In today’s world where technology is all-encompassing, the variety and sheer volume of data available is enormous, not to mention the tremendous rate at which new data is constantly being generated, adding to the existing stockpile. The speed at which data is utilized and replaced with newer and more current data will only continue to