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Predictive Analytics explained in two sentences

Predictive analytics is this super-complex field that only statisticians and data scientists can understand, right? Well, perhaps it takes some training to do it well but it only takes two sentences to understand what it's all about: In predictive analytics we determine the likelihood of something...

Pitching data science budget

Pitching Your 2018 Data Science Budget

Last week we offered some suggestions on how to attack your data management initiatives in 2018 according to your organization’s level of data expertise.  This week we follow up with some tips on how to pitch those new data science technologies and initiatives to increase...

actuary

The Difference Between an Actuary and a Data Scientist

The hot new thing, data science, isn’t so new after all. Since the advent of modern actuarial science in the late 1980s, insurance companies have relied on actuaries to use math and statistics to anticipate the future.   "A data scientist is a statistician who lives in...

Are you taking the right approach to big data staffing?

The big data and predictive analytics landscape continues to shift rapidly as old practices are phased out and new technologies enter the mainstream on a virtually constant basis.  As these changes continue to play out, business and IT managers face immense challenges when it comes...

it department

The Sad Future of the Corporate IT Department

People in the tech world love to speculate on the future structure of the corporate IT department. While we cannot know precisely how this change will manifest, there are undeniable trends towards a more engaged and decentralized IT presence in organizations. This may...

big data

Is my Big Data giving me Big Value?

Companies often find themselves wondering whether or not they have big data and questioning whether they even need business intelligence and predictive analytics to improve their business strategy. The reality is that you probably have more data than you think you do, but that...

Driving value through end-user engagement

It is important to remain aware of the fact that making data work for you is as much about people as it is about technology. Dataspace has learned a lot about end-user engagement with predictive software and business intelligence infrastructures over the past two...