Your data can take you places
What is your destination?

Data is a key business asset that should not be overlooked. Whether you are looking at sales statistics, staff productivity or customer satisfaction, data points you in the direction of what is going well and what needs to be addressed in your business operations. Why not use it to take your business where you want it to go!

    Maria Shapoval
    Maria Shapoval
    Data Analyst
    Bill Pritchard
    Bill Pritchard
    Director of Data Analytics

    Why Klik Analytics?

    Did you know that “Nearly all (90%) corporations are predicted to value information as a “critical enterprise asset and analytics as an essential competency” this year.”? (Source: IDC)

    At Klik Analytics we can help you foster a data culture within your workplace. We will work with your team to identify key metrics that are important to your business. Using real-time data, we will develop powerful visualizations that help guide your decision making at all levels of your business.

    Our Analytics as a Service will help you gain a laser focus on what’s really important so you can generate more sales, increase profitability, retain employees, or improve customer satisfaction. Why not harness the power of your data and a data culture to reach new heights? Call Klik Analytics now to get started on your data journey.

    Your Data Journey is Unique

    What parts of your business are working well?​

    What areas of your business do you want to explore at a deeper level?

    What are the key KPIs that you use to measure your business and employee success?​

    How can you make your business more successful?​

    What aspects of your business are your pAIN Points?​


    Consult with our team to identify key data points to explore, develop dashboards and gauges, and implement a data culture plan.
    Deploy key gauges and dashboards across your organization.
    Maintain and/or modify dashboards and data gauges as needed. Develop and deploy new gauges.

    Please provide your contact information
    (phone or email) and we will be in touch soon!

      Data Culture Provides Rich Dividends

      Our average, across geographies, there was a 46.2% difference between data-leading and data-aware organizations with respect to treating data as an asset and recognizing the value it delivered.

      Executives in data-leading companies are eight times more likely to actively use data themselves in their work compared with data-aware companies.

      For countries with lower than average scores regarding data investments, low data literacy scores can generally be observed, demonstrating an analogous relationship between investments to realizing the value of data and data literacy.

      Steps of analytics process

      Step 1. Onboarding

      • Define-ask questions to determine the root issues to be analyzed
      • Identify and document what current process and departments are affected/ involved​
      • Identify and document all required data points and data dictionaries​
      • Review and agree on key areas to be measured and/ or 3 gauges to be developed​
      • Development of project plan

      Step 2. Connect to Data Source(s) and Obtain Data

      • Determine if data can be aggregated to a central location
      • Formulate plan and test data connections and connect data to central location, if required​
      • Obtain all relevant data
      • Client verifies accuracy of data obtained

      Step 3. Create gauges/visualizations of data

      • Create up to 3 gauges per month and verify data implemented in gauges/visualizations​
      • Combine data gauges/visualizations to create dashboards
      • Demo new gauges/ visualizations on dashboards and obtain approval for dashboards to be deployed

      Step 4. Deploy visualizations and dashboards​

      • Maintenance – maintenance and support for existing gauges/dashboard​
      • Modification – Unlimited changes for existing gauges/ dashboards​
      • Augmentation – Creation of new gauges (if new data connections are needed, additional charges may apply)

      Data Analytics Blog Articles

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