Below you'll find a list of all posts that have been categorized as “Data Management”
There was plenty of noise about Artificial Intelligence, Machine Learning, and Data Analytics in 2018. And we don’t expect it to be any quieter in 2019. To help you make sense of the hype, we’ve compiled some key takeaways from and predictions for these technologies, so you can position your business for success in the new year—and beyond. Finance …
It’s estimated that we create an astonishing 2.5 quintillion bytes of data each day. With so much new data coming in—from sources as varied as social media to IoT—getting an accurate snapshot of what all of this information means for your business all comes down to how well—and how long—you use data models. Every model you run tells a story. …
LityxIQ Release 4.0 offers an even more powerful analytics solution Wilmington, DE: LityxIQ release 4.0, brings increased functionality and processing speed to a platform already known for its ease of use in data blending, predictive analytics, machine learning, and decision optimization. With most advanced analytics software platforms, advanced analytics is out of reach for many marketers and business analysts due …
Recently our VP of Analytic Services, Simon Poole, was featured on MartechAdvisors.com. Discussing how third-party data can be used to help companies find and target their customers better. Third-Party Data It is generally accepted that third-party data provides foundational knowledge for any marketer. But, it can also be effectively used to enable more precise target marketing that can dramatically improve marketing …
Modeling is a powerful way to predict behaviors and business outcomes. But, to maintain relevant and accurate models, they must be regularly monitored and adjusted to address changes that occur as part of the natural model evolution. Managing the lifecycle of a model requires many factors that need to be considered to maintain its quality. The cost of storage, understanding …
Organizations that understand the distinction between reporting and analytics simultaneously innovate in data quality and analytics. Analytics needs data, but analytics programs are not necessarily reporting departments. Reporting is a process of organizing data, whereas analytics is a process of exploring data. Analytics is forward-driven, answering what will happen. Reporting usually looks at what has already happened. According to the …
We should see a 4,300 percent increase in annual data production by the year 2020. Less than two years from today, according to Medium.com, every person on this planet will produce 1.7 megabytes of data per second. Read more mind-blowing stats in the Medium.com article, “Making decisions with data — The importance of data preparation.” So, what’s that mean for …
They don’t call it “big data” for nothing. Companies today are struggling to store, manage, and most importantly, use the massive amounts of customer data they collect. Even worse, bad data is holding them back from tremendous business opportunities. Poor data quality costs the U.S. economy around $3.1 trillion per year, according to IBM. This unreliable data forces everyone in your …
They don’t call it “big data” for nothing. Companies today are struggling to store, manage, and most importantly, use the massive amounts of customer data they collect. Even worse, bad data is holding them back from tremendous business opportunities. Poor data quality costs the U.S. economy around $3.1 trillion per year, according to IBM. This unreliable data forces everyone in your …
