Welcome to the Reading Room – a short round up of interesting reading about anything and everything to do with digital communication.
Due to the complexity of global business today, as well as market volatility and the resultant uncertainty, organizations are starting to rely more on data-driven analytics and insights. Read on for insight into how data analytics can grow a business.
Data Analytics: An Investment In Business Value
Not all organizations are ready, nor have a current need for analytics, but, according to this article, they should consider taking the necessary steps, as insights from big data can yield great value for a business. Read on for three examples where predictive analytics have produced a great ROI – “cost savings of 60% and $3.2 million annually and time efficiencies equal to nearly 14 full-time employees” The examples are categorized under the following benefits respectively: transformative business process improvement; predictive power and self-service time savings.
- Publisher: D!gitalist Magazine
- Access: Public
- Download: None
Data Analytics Is No Longer A Nice Option - It's The Core Of The Enterprise
Thanks to the rapid growth in digital technology, businesses are able to access and analyze more data, which, in turn, is driving demand for better quality data, analytics skills, as well as the implementation of best practices. The main content of this article is a list of key findings from a recent report, “Analytics Accelerates Into the Mainstream,” which analyzes the results of a survey done by Dun & Bradstreet and Forbes Insights on the current state of analytics adoption across the enterprise.
- Publisher: Forbes
- Access: Public (article) Registration required for report (link in article)
- Download: Report only – 5.84MB
Big Data Analytics - What it is and why it matters
Traditional business intelligence solutions have proved to be slow and less efficient when analyzing data and gaining insight from it. With the technology available today, businesses can analyze data more effectively and draw insight from it almost instantaneously. Read on to learn more about big data analytics – its evolution and history, the importance thereof, its use in today’s world (whitepapers also available here), how it works and key technologies.
- Publisher: SAS
- Access: Public (including whitepapers)
- Download: None (only whitepapers – if required)