After identifying the right team, the actual analytics work can begin, and that's Step 5 of the cycle. Step 5: Execute and iterate The above seems like a simple enough statement, but in reality it takes time to produce results. First there’s the implementation of a framework to collect, process, cleanse and integrate the necessary [...]
Once the leader of the analytics project or initiative has been identified, it’s time to put all the required skills in place. Step 4: Get the right team together. The ideal big data analytics team involves a number of skills that can largely be viewed in three broad perspectives – technology, data analytics and business. [...]
Singapore, February 03, 2015 — Sciente Consulting Pte Ltd. today announced that it has entered into a partnership with Cloudera. Cloudera is revolutionizing enterprise data management with the first unified Platform for Big Data, an enterprise data hub built on Apache Hadoop™. Cloudera offers enterprises one place to store, process and analyze [...]
There’s a reason why the previous step (Step 2) recommended reflecting on what types of data might be required and where they could come from instead of leaving it to be something for a newly formed analytics team to run with. Understanding where the source data might lie provides a valuable input towards starting to build [...]
Delivering Enterprise Hadoop Solutions Powered by Hortonworks Data Platform. Singapore, January 19, 2015 — Sciente Consulting Pte Ltd. today announced that it has joined the Hortonworks® Systems Integrator Partner Program and will be delivering big data solutions powered by Hortonworks Data Platform (HDP). Hortonworks is the leading contributor to and provider [...]
Once the business question most critically needs an answer has been framed, the next thing to do is to take a step towards determining whether it’s actually feasible to find an answer to that question. Step 2: Think about what data might help answer those questions. This is important. Is it data about what customers [...]
A common challenge that many companies face in starting up their big data and business analytics programmes lies in understanding where to start and how to make it all come together. Business analytics requires the application of various skills that are normally found distributed across multiple functions in contemporary organizations. It doesn't help that the [...]
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