What Do We Know About the Future of Staffing?

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What do we know about the future of staffing? In short, not much. However there are hints that contract staffing could continue to grow as a critical strategic choice for many companies.

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Will Covid Break Data Science?

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Predictive analytics is about making educated guesses regarding the future based on things you know about the past. But, what if the future doesn’t look anything like the past?

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PICTURING THE CLOUD

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Much like an actual cloud that can look like whatever you imagine it to be, this virtual cloud is amorphous in its own right, and ever changing.

Fortunately for those who want to leverage cloud computing to improve their data sharing, storage, and analytics capabilities it is less important to understand what “The Cloud” looks like than what it does. In this issue of our newsletter, we dive into some of the silver linings of cloud computing and its applications.

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Email address is a really bad key!

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At its heart, record matching is about uniqueness. We need to find what makes a record unique and then identify all the other records, in that data set and others, that share the properties that make it unique.

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Data Lake: Why record matching is critical to success

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Today’s data lakes are like yesterday’s operational data stores (ODSs): Everyone has one and everyone means something different when they use the term. In my experience, a data lake is a place where analysts and data scientists can store and analyze data…

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Be Assured, Data Science Ensures Success for Insurance

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GREETINGS FROM DATASPACE! As we discussed in what may be our most viewed Dataspace blog post (ever!), insurance is one of the oldest data science based businesses – using math to make predictions about the future. In today’s post, we’ll be highlighting some ways in which data science has infiltrated, influenced, and innovated the insurance […]

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Why you need cloud neutrality

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As you move your infrastructure to the cloud, it’s important to consider how to not become beholden to a single cloud vendor. In other words, to attain cloud neutrality. I’m afraid that I don’t have all the answers on how to do this, but I do have some thoughts. In any case, I recommend that […]

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Danger, Will Robinson! (AI, Analytics and the Invisible Dangers)

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While we may yet be a long way from the threat of truly sentient computers such as Hal 9000 and ARIIA, the current capability of AI technologies still offers plenty of power for those who wish to harness it for malicious purposes. These types of crimes go beyond the grey ethical areas that we discussed […]

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What’s The Difference Between Business Intelligence and Data Science?

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Tools and techniques for management reporting and analysis have evolved since computers first came out. One can argue that the first management reporting tool was COBOL (COmmon Business Oriented Language). It allowed business people to get data out of systems created by computer people. COBOL was eventually replaced for reporting by tools like Information Builders […]

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Step 1: Collect data. Step 3: Profit. Step 2: Hire data scientist?

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Data science is, and has been, in vogue.  Every forward-thinking company wants to have a data science program because by now it is conventionally understood that it will improve profitability and efficiency across the business.   To some companies with troves of data waiting to be ‘data scienced,’ his means hiring data scientists willy-nilly even […]

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