Your Privacy

This site uses cookies to enhance your browsing experience and deliver personalized content. By continuing to use this site, you consent to our use of cookies.
COOKIE POLICY

Skip to main content

Solid Data Strategy Requires Putting First Things First

Solid Data Strategy Requires Putting First Things First
Back to insights

At UDig, we geek out over data projects and enjoy helping organizations realize the full potential of their data as they try to better understand their internal performance metrics, as well as the profile and habits of their customers, partners and competitors. There have been enough blogs on the value of data and, in a digital age, knowledge about your data is power – the power to make better decisions, take better actions and get better results.

In many organizations we see more partnership between the business and IT on data strategy – especially when there’s a “data-as-an-asset” culture instead of it being a managed expense…or worse…a liability. However, as companies invest stakeholder hours and budgets into projects which help them glean better insights from their data, the problem we continue to see in the market is the proverbial cart-before-the-horse: Fixing the front-end data visualization before back-end systems and data streams are fully integrated.

We get it. It’s easy to doctor up the graphics on those excel spreadmarts or sink money into a BI tool to present a quick, appealing ROI. In fact, most intelligence software provide out of the box connectors to commonly used data sources (google analytics, social media, etc.) for easy adoption and quick wins on reports and dashboards. But good data practices would tell you those tools are not true data warehouses and don’t solve for data quality, governance, and integration problems.

The problem? An intelligence house built on sand…

  • Accuracy – Improper governance leads to poor data quality: mismatched fields and formats which present inaccurate or incomplete results. Manual remediation creates a soft-cost impact to team productivity.
  • Timeliness – Poorly integrated data leads to more complicated extracts which leads to longer report times and congested system performance.
  • Cost – Cumbersome and complex data architecture grows expenses in storage and maintenance. Costs can compound if problems are addressed in the wrong order (e.g. investing in a BI tool before you know it’ll actually fit your business needs and technical environment).
  • Narrow scope– Lack of visibility into historical data for comparative modeling or an inability to blend data from different sources for advanced insights.
  • Wasted effort – Rebuilding visualization models after foundational issues are addressed.

The solution? A house built on rock…solid data architecture.

  • Start at the beginning, but with the end in sight. Meaning, before investing in sexy analytical tools, assess the landscape for desired outcomes, seek to understand the business needs to visualize data and prioritize those values.
  • Uncover the present-state architecture and design the roadmap to a proper data management strategy that promotes sound analytics of the key values.
  • Invest, Implement, Iterate.

Are you confident in the trustworthiness of your reports? Are you only seeing part of the picture when it comes to business and performance metrics? The right partner, like UDig, can help set up your organization for success from strategy to implementation.

Digging In

  • Data & Analytics

    Piloting Data Discovery and Governance: The Open-Source Data Catalog

    As organizations grow increasingly data-driven, the ability to quickly discover, understand, and trust internal data becomes more than a convenience—it’s a necessity. Over the past year, I’ve spent more time exploring data catalog solutions and the pivotal role they play in solving a challenge I frequently hear from clients: “We know we have the data, […]

  • Development & Modernization

    Choosing the Right Modernization Approach

    When organizations decide it’s time to modernize their technology infrastructure, choosing the right approach is crucial. Modernization isn’t merely a technical upgrade; it’s a strategic business move that significantly impacts growth, agility, and long-term success. Here’s how your company can effectively begin to select the best modernization strategy tailored to your goals and challenges. In […]

  • Artificial Intelligence

    Building a Multi-Model LLM Chatbot with Azure OpenAI and Amazon Bedrock

    This video will explore the journey of the creation of a Multi-Model LLM Chatbot that utilizes both Azure OpenAI and Amazon Bedrock.

  • Retail

    Driving Seven-Figure Savings and 40% Higher Employee Adoption by Modernizing a Mobile Point of Sale System

    Within the first year, the retailer will break even on their investment while eliminating recurring licensing costs, achieving long-term savings nearing seven figures annually. The new solution has led to a 40% increase in employee adoption, enhancing in-store efficiency and elevating the customer purchasing experience. By moving away from a rigid legacy system, they successfully brought their mobile-first strategy to life across all 2,300 retail stores.

  • News

    UDig Named One of the Best Places to Work in Virginia for the Fifth Consecutive Year

    UDig is honored to be recognized as one of the Best Places to Work in Virginia for the fifth year in a row. This recognition reflects our commitment to fostering a workplace where employees can thrive, grow, and make a meaningful impact. At UDig, career development is a priority. We invest in our people through […]

  • People

    Digging In with Reid Braswell, VP of Software Engineering

    Digging In is a regular series of blog posts profiling UDig employees. We hope this series helps you get to know our team and understand why we dig what we do! Today, we are sitting down with Reid Braswell, Vice President, Software Engineering. Tell us a little bit about your background and your role at […]