Big data goes beyond volume, variety, and velocity alone. You need to know these 10 characteristics and properties of big data to prepare for both the challenges and advantages of big data initiatives.
- By George Firican
- February 8, 2017
Future businesses will be defined by new efficiencies, strategies, and business models created with data-driven knowledge. If companies wish to maintain traditional on-premises ERP solutions, they will face costs and compromises.
- By William McKnight
- February 7, 2017
A new class on recognizing fake or distorted data, why data science needs transparency, and the basics of the blockchain distributed database.
- By Lindsay Stares
- February 7, 2017
Four steps you can take to retain top talent by ensuring your analysts stay productive and engaged in their work.
- By Pete Reilly
- February 6, 2017
Marketing is evolving from communication to the masses to communication to the one. By using a recommendation engine, you can determine the next best step for each customer journey and use that to increase customer loyalty and revenue.
- By Troy Hiltbrand
- February 3, 2017
Learn the basic concepts behind predictive analytics, 14 challenges facing predictive analytics, and 5 ways to improve unstructured data security.
- By Lindsay Stares
- February 2, 2017
To get full business value from big data and other new data sources, many organizations use a data lake atop Hadoop to capture, process, and manage diverse data at scale for business analytics.
- By Philip Russom
- February 2, 2017
Organizations are using many strategies to gain bottom-line value from big data and data science. Three major trends stood out in TDWI's recent research.
- By Fern Halper
- February 2, 2017
As enterprises look to put their best foot forward in 2017, many are increasingly turning to text analysis to improve customer experiences and business processes.
- By Terry Lawlor
- February 1, 2017