Supply Chain “Predictive” Analytics

In our last few posts we focused on the importance of bringing supply chain data into an Enterprise Data Warehouse (EDW) ( and the value achieved (ROI) of doing so ( Staging and storing data enables essential descriptive and diagnostic analytics. Predictive analytics is a natural next step in the analytics maturity model.

Below is a visualization of the Supply Chain Analytics Maturity Model from Gartner. What type of analytics is your company currently implementing? We would love to hear from you.

Supply Chain Analytics Maturity Model

Supply Chain Analytics

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Why Supply Chain Data in Your EDW Is Crucial

In our last post, we focused on common myths about Business Intelligence (BI) implementations in the supply chain ( Today we will take a look at why bringing supply chain data into your Enterprise Data Warehouse (EDW) is so critical and allow you to create a competitive advantage for your organization.

Quick Background

Most companies have a system of record (or ERP) that contains valuable information to run their business (e.g. financial, human resource, master data). Furthermore, most companies have an EDW that stores this data for long periods to provide the business with access to critical reports when they need them.

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Reflections on ProMat 2015

Wrapping up the week, we wanted to reflect on some of the emerging technologies and interesting companies we met at ProMat 2015 in Chicago. This is by no means a comprehensive review of the 800+ vendors who exhibited at the event. Below are a few vendors that we wanted to mention because they fit into our vision of what the future looks like. In alphabetical order:

Blue Violet Systems

Blue Violet Systems is pioneering an impressive technology stack for supply chain analytics. Their technology allows companies to query video that is matched up with transactional data. The technical details aside, this is a truly innovated use of technology to offer unparalleled visibility to processes and product. Applications include use cases such as monitoring loading processes, investigating exceptions during MHE handling, and providing mobile visibility to deliveries, including deliver exceptions.

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Myths About Business Intelligence in Supply Chain Projects

In our last post, we focused on why Business Intelligence (BI) is critical to successful supply chain projects ( Now we will take a look at two myths that we have seen while implementing BI and analytics as part of supply chain transformation projects at companies across industries.

Myth 1: The Reporting Will Work “Out of the Box”

Often we have found that reporting and business intelligence requirements get put to the side during supply chain software implementations because, while companies understand the importance of setting up the needed visibility for managers, supervisors, and end users, the reports and dashboards are generally expected to just “work.” Many vendors sell this idea when they demo BI as an add-on to packed software solutions. However, this is a common misconception. Packaged BI solutions on the market rarely allow for a one-size-fits-all approach. Additionally, the focus, testing, and training in a supply chain implementation is often on the transactional systems (WMS, TMS, etc.) until at the last minute someone asks, “What about the reports?” It is necessary to review any packaged solutions and incorporate BI design into the design phase of the project. Identifying a BI team early in the project will ensure users have the tools required to fully use transactional systems. Also, as part of the BI design, companies can gather and collect base line metrics to help justify the ROI of projects as part of the implementation. The ultimate lesson of this myth is that each company will have specific needs that need to be identified as part of the project design. Don’t assume that your BI will “just work” out of the box.

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Meet Our CEO & COO at ProMat

Agillitics empowers businesses to see, understand, and optimize new opportunities.
Meet with the CEO & COO of Agillitics at Promat 2015 in Chicago March 23rd-26th

Promat 2015

Please drop us a note at to schedule a time.
Look forward to seeing you in Chicago!


5 Reasons BI is Critical to Successful Supply Chain Projects

Over the past 10 years, we have received questions from various companies across industries about why Business Intelligence (BI) can make or break large, complex supply chain implementations (e.g. including ERP, CRM, SRM, and best of breed execution systems such as WMS, TMS, and LMS). We have listed our most common answers below.

  1. Better visibility to make operational decisions

This may seem obvious to most people. However, business intelligence which includes tactical operational reporting, dashboards, and alerts also should include bringing your execution data into an Enterprise Data Warehouse (EDW) in a timely manner so that it can be incorporated into overall meaningful KPIs. When bringing on new systems and/or upgrading existing systems in your network, often the required visibility for the business to make decisions in real-time is lost at one of these levels. Spending the time upfront to (1) outline your overall data strategy; (2) identify the system(s) that will be used to collect, clean, and integrate the necessary data; (3) ensure your data strategy is aligned with the operational strategy (what information is needed and when to make decisions); can ultimately ensure the business can make data driven decisions, boost moral, and ensure that you are performing at your best.

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Genuine Parts Company Selects Agillitics as Strategic Partner

Genuine Parts Company Selects Agillitics as Strategic Partner

Atlanta – February 4, 2015 – Today Agillitics, LLC, announced that Genuine Parts Company (NYSE: GPC), one of Atlanta’s largest publicly traded companies, has partnered with Agillitics to develop and support GPC’s supply chain business intelligence and data analytics initiatives.

Agillitics will develop capabilities and tools that leverage data to enable and optimize operations as well as improve visibility across the company’s supply chain. The work will span GPC’s warehouse management, labor management, slotting, and inventory optimization systems, and it will be implemented by multiple subsidiaries.

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