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

Data Driving Decisions

Data Driving Decisions
Back to insights

Having changed careers from golf to IT, I didn’t think there would be as much overlap as there has been.  Beyond customer or client interactions there has been one main commonality, data.    Data is what drives us and how we take action every day.

Until I really learned what data was and what it’s true function is, my only observation was that data would give me an answer to an equation or problem, and my problems would be solved.  However, when I relayed our focus here at UDig to my personal life, and looked back at my former life as a golf professional and specifically a club fitter, the similarities in all engagements became very clear.

For example, as a club fitter, the swings on a highly tuned and accurate launch monitor, give us over 30 points of critical data to make a subjective decision on which club, golf ball or swing correction is optimal for that given player.  The same holds true in business.  For example, when using sales data to determine how to adjust margins to maximize profit or increase human capital to meet demands of pipelined project work.

Subjective?  Yes, subjectivity or interpretation is still the end point and sometimes the crux of the process.  We can analyze mountains of data and make decisions, however if that data does not have a properly defined structure, set of rules, and process then the decision impacting the business lines, or in my former career, the golfer’s performance, are irrelevant or even detrimental.  That is why we focus on data architecture, governance and quality, along with integration and migration, to improve timing and efficiency.  With these solid foundational data practices, you can ensure the most accurate analysis and therefore, best actions taken.

Digging In

  • Data & Analytics

    Unlocking the Full Potential of a Customer 360: A Comprehensive Guide

    In today’s fast-paced digital economy, understanding your customer has never been more critical. The concept of a customer 360 view has emerged as a revolutionary approach to gaining a comprehensive understanding of consumers by integrating data from different touchpoints to offer a holistic view.  A customer 360 view is about taking an overarching approach to […]

  • Data & Analytics

    Microsoft Fabric: A New Unified Data Platform

    MicroPopular data services and tools often specialize in specific aspects of the data analytics pipeline, serving teams in the data lifecycle. For instance, Snowflake addresses large-scale data warehousing challenges, while Databricks focuses on data engineering and science. Power BI and Tableau have become standard tools for business intelligence tasks. So, where does Microsoft Fabric create […]

  • Data & Analytics

    Improve Member Experience: Maximize Engagement & Value for Associations

    As you know, member engagement is key to providing value and retaining members over time. However, you must also recognize that member needs and preferences are evolving rapidly, especially as they desire more seamless digital experiences. Additionally, member expectations for personalized, omnichannel interactions have risen in recent years, and this means that associations must strategically […]

  • Data & Analytics

    A Guide to Data Strategy Success in Your Association

    While countless organizations aim to harness the potential of data, few possess a clear strategy to transform raw information into actionable insights that fuel their operations and marketing efforts. Don’t fall into the trap of investing in limited, tactical solutions.

  • Data & Analytics

    ChatGPT & Your Data Strategy – Revolution or Evolution?

    You would be hard-pressed to find a single person who was not some degree of impressed when they first tried out ChatGPT. After its public release, the conversation in the tech space seemingly changed overnight about how AI would change everything. But much like past hot topics in the tech world – such as the […]

  • Data & Analytics

    Revamping Data Pipeline Infrastructure to Increase Owner Satisfaction at Twiddy

    In an ever-evolving technological landscape, embracing new methodologies is vital for enhancing efficiency. Our data and analytics interns recently undertook a significant overhaul of one of Twiddy’s data pipeline infrastructures, implementing Airbyte pipelines with Kestra orchestration to replace an existing Java application. Motivated by several challenges with the previous system, most importantly a complete loss […]