With the advent of Big Data and the advancement of technology to store it, are we justified in holding large quantities of it? What are the drawbacks/benefits of doing so and how can organizations find the right balance. This is more than a decade ago. A large telecom organization was negotiating with its strategic outsourcing
For at least two decades, the emphasis among business intelligence (BI) practitioners, implementers and integrators, consultants, vendors, and others has been on making business more “BI-driven.” Companies have invested a lot of time, effort and money in building datamarts, data warehouses etc. to do away with reporting on siloed systems and creating a single version
It is widely known that analytics can help immensely in various aspects of a business like revenue growth, arrest customer churn, identify fraud, better forecasting and planning etc. If the benefits of adopting analytics are so compelling then, why it is not leveraged by the companies of all sizes? Gartner says that only 11% of
Ask any small and medium-sized business (SMB) about its top priority, and typically the answer will revolve around retaining the growing customers and increasing revenue. Similarly, a majority would say that cost is the single most important obstacle in adopting technology. It’s here that analytics, a hot topic today, is generally placed well to address
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