Introduction to this White Paper
In today’s enterprise, a successful big data strategy can mean the difference between success and failure. For example, Netflix reports the company is able to save $1 billion a year from customer retention thanks to its use of big data analytics, and enterprises in every other vertical market are following suit. Market research firm Statista forecasts big data analytics software spending will hit $68 billion by 2025. But adopting a big data strategy is a big undertaking for enterprises, and there are a host of questions an IT team must answer before they can decide on the best big data platform for their needs. Should the enterprise use an on-premises or cloud-based datacenter for data analytics? Which data analytics software best fits the organization’s use case? Does the IT team have the requisite experience and expertise to implement a big data solution? Will the chosen big data platform still meet an enterprise’s business needs in 12 months? What about in 5 years?
This paper will examine multiple criteria an enterprise IT team should consider before they adopt any big data platform. By rigorously evaluating a potential platform in each of these categories, IT teams will have a better understanding of the total cost of ownership (TCO) of their chosen platform. The paper will then apply each of those criteria to reveal how well an HPCC Systems data lake platform addresses the criteria. Finally, the paper will examine how an actual HPCC Systems customer evaluated HPCC Systems TCO and decided the platform was the best fit for their big data needs.