DMWay Blog

  • Leading Israeli Lending Company Leverages DMWay Analytics to Save Time and Money, and Achieve Superior Results

    Finance Me* is one of Israel’s leading lending companies, with more than $2 billion in direct loans. The company is able to offer borrowers a quick response and lenders peace of mind. What makes Finance Me unique is its ability to perform a rapid and reliable assessment of each loan candidate, based on just a ...

  • 8 ways predictive analytics can help you manage your loan portfolio proactively

    Reduce risk and get paid for the risks you are taking!

    Loan Infographic

  • The Secret Sauce of Savvy Lenders: Automated Predictive Analytics

    By Gil Nizri

    It doesn’t take a savvy businessman to know there is a risk associated with poor decisions and a reward for making better ones. For lending companies, however, the risk and reward is even more severe. Lending the right amount of money at the right interest rate to the right person could make the ...

  • 3 Reasons Companies Need to Adopt Predictive Analytics

    Data is growing at a rate of 2.5 quintillion bytes of data being created every year and organizations are drowning in numbers, facts and figures. In fact, most organizations do very little with data, yet wax confident that data is their greatest competitive advantage.

  • 7 Questions with Dr. Eric Siegel

    Everyone is talking about predictive analytics, artificial intelligence and machine learning. But these buzz words can be overwhelming to the average subject matter expert (SME), who before the world of big data just wanted to do his or her job. In the information age, SME’s have to be more strategic, effective and efficient.

  • DMWay and Integrant Analytics Announce Strategic Partnership

    Integrant to leverage DMWay’s Predictive-Analytics platform to provide quicker and more effective predictive solutions for the US energy industry

    April 7, 2017 ——- Integrant Analytics recently announced it has selected DMWay predictive analytics platform and will harness the technology to provide exceptional accuracy in its predictive models for North American energy producers ...

  • The Black Sheep of Data Science

    My data scientist colleagues all get excited about the science of the analytical process. The goal is competing – sometimes with themselves! – to achieve the best model they can get.

    The process looks like this: Gather the best data set one can get that best fit the business problem. Often, this involves merging dozens ...

  • Modeling your Business Question

    Usually when you talk to people about data, first thing that comes up is the size, and not all the people that I talk to are males.

    The amount of data is important, but the key for any data analytics project starts by asking the right questions, a stage that many are neglecting.

    The definition stage can ...

  • Customer Life Time Value

    You are considering launching a campaign to acquire new customers through the web. How much are you willing to invest in acquiring a customer?
    You suspect that a given customer is about to defect and switch to a competitor. Would you try to keep this customer or let her go?
    You want to assess the ...

  • Ecommerce

    Obtain an in-depth understanding of your customer behavior, their needs, best offers and more!

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