The time is ripe for big data and analytics initiatives to pull leaders ahead of the pack. New and varied sources of data, including weblogs, sensors and social media streams, are weaving their way into the analytics mix, making it easier than ever to create connections that convert into actionable insights
Teradata
We've always had connections, but we didn't have a good way to find the interesting connections lurking in our data. Now we do; it's called connection analytics and it helps us find patterns in the way people and things of all types are related.
Relationships Matter: The Business Value of Connection Analytics eBook
It is time to end small thinking about big data. Instead of thinking about how to apply the insights of big data to business problems, we often hear more tactical questions, such as how to store large amounts of data or analyze it in new ways. This thinking is small because it focuses on technology and new forms of data in an isolated and abstract way.
Executive Brief: Stop Thinking Small about Big Data
Data-Driven companies outperform their competitors when it comes to profitability, operational efficiency and innovation as revealed in a new survey from The Economist Intelligence Unit. Although many companies have invested significantly in gathering vast amounts of data on their business, industry, and customers, many still struggle to extract valuable insights.
EIU Research Report: The Virtuous Circle of Data
This paper provides the definitive guide on the critical areas of importance to bring data lake organization, governance, and security to the forefront of the conversation to ensure a successful and efficient journey to the data lake.
The Definitive Guide to the Data Lake
Companies too often start big data efforts from scratch, abandoning the analytics solutions they have in place. Instead, companies should simplify their efforts and leverage existing infrastructure.
Data is Just Data- The Unified Data Difference
The data warehouse, as most people think of it, is passé. Associated with batch reporting, SQL only, long wait timesthat's your father's data warehouse, and it shares little resemblance to today's data warehouse.