• Benefits of a Top Down Data Analytics Approach

    Submitted on: Thu, 04.20.2017 06:36pm

    As software continues to become more and more complex, we find that about 80% of its users tend to utilize about 20% of the software’s functionality. And this is fine, as long as it’s the right 20 percent. To make sure that happens with their analytics software, companies need to take a top-down approach centered on aligning analytics with the company’s overall strategic planning. This, in turn, ensures that your company gets 100% of the value out of the solution without worrying about what percentage of its functionality is actually being put to use.

  • How to Build a Metric Management Culture at Your Distribution Business

    Submitted on: Mon, 01.30.2017 06:17pm

    When management guru Peter Drucker famously said, “You can’t manage what you can’t measure,” he was saying that without clearly established success metrics, you can’t quantify progress, adjust processes, or produce desired outcomes. Put simply, in the absence of clear objectives, companies are stuck in a constant state of guessing—and, hoping that they’re doing the right thing to win their end games.

  • If Your Inventory Could Talk, What Would It Say?

    Submitted on: Wed, 05.25.2016 07:41pm

    You can learn a lot about your overall business trajectory—and even the economy—if you have the tools in hand to “hear” what your inventory has to say to you. MITS President, Gary Owen, will share the inventory trend tactics we’ve seen our distribution customers use to enhance inventory stratification efforts.

  • When We Don’t Believe Our Data

    Submitted on: Mon, 03.28.2016 06:01pm


    Note: The following blog post was written by guest blogger Andy Weith.

    “Beauty is in the eye of the beholder.” This phrase is used to describe a subjective approach to art, and whether or not it is “good” or “bad” it cannot apply to data, where an objective view is necessary. This may seem straightforward and to many folks, myself included, begs the question “Why does this matter, facts don’t lie?”

  • Tips for success with distributor analytics: make it easy or no one will use it

    Submitted on: Tue, 03.01.2016 07:00pm


    Earlier in this blog post series we shared the importance of finding the right tool set and using those tools to empower your team. Today’s tip? Make the distributor business intelligence solution you roll out easy to use.

  • Tips for success with distributor analytics: empower your team through transparency

    Submitted on: Thu, 02.18.2016 07:00pm


    In the first of our blog post series tips for success with distributor analytics, we discussed how important it is to pick the right tool set to get real-time insight from your business data. The next tip we’d like to share is the importance of empowering your team. That means giving them both the right tool set and more transparent access to your data.

  • Tips for success with distributor analytics: Pick the right tool for the job

    Submitted on: Wed, 02.10.2016 07:00pm


    We’ve talked with a lot of wholesale distributors over the decades and have gleaned some real nuggets of wisdom along the way.  We’re happy to share some of these with you in our ‘tips for success with distributor analytics’ blog post series, and in our latest ebook.

  • Analytical vs Tactical Reporting: How They Fit Together

    Submitted on: Thu, 06.18.2015 09:46pm


    If you are thinking about reporting and BI implementation and user adoption, listen in as MITS President Gary Owen talks through a recent customer session focused on analytical vs tactical reporting.

  • Changing Behavior at Midwest Packaging

    Submitted on: Wed, 06.17.2015 07:58pm


  • MDM Reports: Dashboards & Scorecards Take the Lead

    Submitted on: Tue, 06.16.2015 08:30pm


    In case you missed the news last month, our friends at MDM reported that dashboards and scorecards are winning the analytics capabilities race. Almost half (44%) of the respondents to the MDM-Baird Distribution Survey reported that their data analytics capabilities have matured to the extent that they are now using dashboards and scorecards. Compare this to the percentage of respondents that describe their analytics maturity level at: