Looking for a long term competitive advantage?
Recently, a major consumer energy company came to Pariveda with a challenge. It wanted to be able to accurately assess the feasibility of potential use cases associated with big data analytics, something that would allow it to not only create more effective marketing campaigns but would also identify new revenue opportunities at the exact same time. This would also help dramatically with commodity trading efficiencies, helping the client build and maintain a competitive advantage for years to come.
Maximizing Machine Learning benefits using Microsoft Azure
The Pariveda team researched big data architectures extensively, along with the costs and skill sets commonly associated with such an implementation. We utilized Azure HDInsight to warehouse, parse, analyze and correlate all of the semi structured data necessary from a wide range of both internal and third-party sources.
Forecasting data provides rich insights to improve margins
Not only was Pariveda able to provide the client with the information it needed, but the costs and amount of time associated with exploring, understanding and even deploying big data technologies was significantly reduced in the short term. The client is now able to not just make an investment into big data analytics, but make the right investment for the right outcomes at precisely the right time.
Big data analytics will allow the client to significantly improve customer retention and acquisition, as well as help improve hedging margins by providing a much more holistic and generally superior ability to provide adequate forecasting data to commodities traders. This alone helps to guarantee that every dollar that the client spends is being used to its maximum effectiveness, cementing the company's competitive advantage over the course of the next few years.