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

3 Data Habits of High Performing Organizations

3 Data Habits of High Performing Organizations
Back to insights

Today’s businesses produce unheard of amounts of data, but unfortunately much of it is either inaccessible, unusable or just not known. Organizations are beginning to realize the true strategic value of their data and leverage it using a combination of modern tools and the introduction of governance processes.

An organization that can overcome their data challenges is able to harness the value of one of their organization’s greatest assets. But many are struggling with how to create the environment, culture and structure to deliver value to the organization. We believe there are 3 attributes that high performing organizations’ data strategies include:

Focus on the Customer

High performing organizations have amazing visibility into their customers. They know their customer’s habits and interactions across their organization. Retail organizations can use this information to cross-sell services or provide seamless cross-store or brick and mortar to online transitions. A healthcare organization may utilize this level of knowledge to more deeply engage their patients through unified views of services. A Business to Business (B2B) transportation organization may use this information to get amazing visibility into purchasing and routing patterns by industry or region. All of these ultimately provide an organization methods of better engaging their customers leading to higher value services.

Data Exploration

Data exploration opportunities are at the heart of many of today’s pushes into “Big Data”. Whether your organization is leveraging true “Big Data” paradigms or more traditional methods, data exploration leads to deep knowledge and understanding of key areas of your business. These exploration activities yield greater insights into patterns that can be leveraged to inform strategic initiatives or other key business decisions. Financial organizations can now accurately predict potential accounts or customers that are preparing to take their business elsewhere. Organizations with recorded customer relationship conversations are able to analyze conversations and important triggering activities. The possibilities are just now truly being explored on what next generation analytics can do.

Trustworthy Key Business Metrics

At the heart of every high performing organization is powerful reflection on and monitoring of current key business metrics. Unfortunately, not all organizations have the correct information at their fingertips or may not be able to access it in a timely manner. This can impede on decision makers’ ability to monitor and evaluate their organization’s key initiatives’ ROI or even current operational aspects. An online retailer or technology organization may need real-time analytics on system performance or transaction data, while a key decision maker within almost any industry will need periodic visibility into their organization’s key metrics.

What to do?

Is your organization ready to realize the value of its data? Is your organization able to develop and cultivate these habits?  Contact us and let’s formulate an approach together. More often than not the solution is rooted in basic changes to quickly realize the value hidden away in your organization’s untapped data gold mine.

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 […]