Logic Point: Bridging Digital Transformation Gaps in Asset-Intensive Industries

Spencer Brown, CEO
Digital transformation is no longer a choice for businesses; it is a necessity. Companies are trying new avenues of achieving this transformation—but most firms jump to the conclusion that buying new technologies or a process redesign can solve this problem. However, there is no silver bullet. Companies must understand that data forms the fundamental building blocks of the digital foundation of any transformation—big or small. Decision makers and stakeholders navigating the transformation journey often get lost in features and functionality of the product without asking, “Do these features contribute meaningfully to transformational success?”

Consider a company investing in a large Digital Twin or Data Lake initiative. Most practitioners will tell you that these next generation analytics tools alone do not deliver insight—data does. These tools manipulate data to deliver insight and drive business outcomes, provided the data is accurate and relevant. This rule extends to any other transformative Industry 4.0 tools, such as IoT, Machine Learning, or Automation. Companies investing in the tools fail to focus holistically on the actual data from a digital transformation perspective. While it’s good to start with a comprehensive data strategy, companies have typically handled data issues with a point-solution approach for specific parts of their business, to deal with issues, for example, around catalogs or materials for supply chain or MRO processes. To this end, Logic Point, a company focused on enabling digital foundations, focuses on data as a critical path to guide organizations through their digital journey.

Fixing the data is not a means to an end. Building cross-company collaboration and continuous improvement through data is where the true value of an organizations accumulated data can be unlocked. There are many tools on the market that solve various parts of the puzzle, but the best use automation and simplicity to encourage solving this challenge. “We specialize in software and solutions that help companies unlock the full value of data by connecting silos and orchestrating the flow of quality data across their organization,” says Spencer Brown, CEO of Logic Point. The firm drives foundation-building initiatives such as data management, technology optimization, and C-suite advisory to deliver measurable results for asset-intensive organizations facing complex transformational challenges. Logic Point’s suite of software, services, and accelerators, which Brown dubs their “Data Sherpa,” enriches, harmonizes, archives, orchestrates, and manages data.

With such value-bound offerings that align with today’s need for successful digital transformation, Logic Point caters to asset-intensive industries, such as energy, utilities, chemicals, construction, mining, and manufacturing, which deal with massive volumes of data.

We specialize in delivering data-centric software and solutions to drive successful transformations, either to an Oracle Cloud platform, SAP S/4HANA, big data lakes, or analytics programs

The firm adopts a business-first approach while engaging with clients rather than a technology platform-focused model. This coupled with the company’s ability to work with multiple technologies helps in determining the right tools that meet customers’ needs. To align corporate objectives with the IT organization and gain consensus on what actually needs to be addressed, Logic Point conducts design thinking sessions for data. This is to educate stakeholders on the impact of data across the organization and to gain consensus on the best path forward that addresses data as part of their transformation.

Thereupon, Logic Point brings their subject matter experts in different business areas—supply chain, maintenance reliability and Operations (MRO) processes, and customer and financials—driving greater impact for transformation. The firm thus works with clients, helping them walk through the proper taxonomy, and assisting them in defining their data requirements. Once acclimated with clients’ needs, Logic Point selects the right technology and brings in appropriate vendors such as Oracle with ETL tools, SAP with MDG, Information Steward Tools or independent players with superior tools—PILog, or ProspectaMDO. The firm then gives demonstrations to educate clients about the advantages of these tools and helps them contract with vendors. What makes the company unique is that it enables clients to recognize the projected ROI for these engagements.

With an ideal combination of deep industry knowledge, experience, a business-first approach, and a robust solution suite, Logic Point bridges the gap between enterprises and the digital world. Furthermore, the firm’s Executive Advisory Network of retired executives from different industries enables it to steer its expertise toward achieving a higher success ratio. Envisioning the future, the company has opened offices in India and Dubai to capitalize further global opportunities. The partnership with a South American firm allows Logic Point to have near-shore capabilities within the same time zone of the North American market and provide resources at discounted rates. “To better serve our clients, we have plans to open offices in several other cities,” concludes Brown.

Logic Point

Austin, TX

Spencer Brown, CEO

Logic Point is a Digital Foundations company focused on delivering software and solutions to drive successful transformations. The company offers measurable results for organizations in asset-intensive industries facing complex transformation challenges by driving foundation-building initiatives such as data management, technology optimization, and C-suite advisory. The project teams include industry executives and technology experts who help realize transformation outcomes through a blend of advanced technology skills and traditional consulting values. They also offer a set of software and accelerators called Digital Sherpa to help their clients solve common implementation challenges involving data and migrations

Logic Point