12 September 2022 Boost e-commerce growth with automated data management Share this message The COVID-19 pandemic has had a devastating effect on economies worldwide. Simply put, it forced businesses to reconsider the way they market and sell in order to stay competitive. As a result of several lockdowns and stay-at-home orders, consumer needs evolved, and buying moved largely to online purchasing models. This led to a surge in e-commerce, a trend that is expected to continue in the foreseeable future. The question is: How e-commerce retailers can ensure growth and scale their businesses in light of this increased demand? The simple answer lies in data. In this white paper, we’ll look at the role of data in e-commerce and the solutions retailers can implement to ensure continued growth. Fill out the form on the right to receive your free copy. Want to know more about TimeXtender? TimeXtender is an automated data management platform that helps implement and operate data lakes, data warehouses, and data marts – without writing code – automating the process of getting data ready for analysis. By implementing a Modern Data Estate with TimeXtender, you can spend less time building, and more time focused on making better business decisions backed by your organization’s data, mind, and heart. Because Time Matters. More from the Bitmetric team Qlik Cloud Backup Protect your investment in Qlik with daily incremental backups stored in an encrypted environment with redundant storage. Available for as little as 2 Euro per day. Learn more. Masters Summit for Qlik The Masters Summit for Qlik provides the next step in your path to becoming a Qlik specialist. As an extra perk, Bitmetric has secured an over $450 discount just for you! Use code BITMETRIC at checkout. Read more here. E-Commerce Ebook TimeXtender How can we help? Barry has over 20 years experience as a Data & Analytics architect, developer, trainer and author. He will gladly help you with any questions you may have. Call us Mail us 17 September 2025 Protected: Qlik vs Power BI: Part 4 – End User Interaction & Integration There is no excerpt because this is a protected post. Power BI Qlik 11 September 2025 Qlik vs Power BI: Part 3 – Front End Development & User Experience Part 3 of our Qlik vs Power BI series explores Qlik’s grid responsive layout and associative model versus Power BI’s precision layout and query-based interactions, highlighting their impact on dashboard design and user experience. Power BI Qlik 4 September 2025 Qlik vs. Power BI: Part 2 – Back-End & Data Modeling This post is Part 2 of our series on Qlik vs Power BI data preparation and modeling. We compare Qlik’s structured, script-driven approach with QVDs to Power Query’s flexible, user-friendly interface, and explain what each means for building reliable data models. Power BI Qlik
17 September 2025 Protected: Qlik vs Power BI: Part 4 – End User Interaction & Integration There is no excerpt because this is a protected post. Power BI Qlik
11 September 2025 Qlik vs Power BI: Part 3 – Front End Development & User Experience Part 3 of our Qlik vs Power BI series explores Qlik’s grid responsive layout and associative model versus Power BI’s precision layout and query-based interactions, highlighting their impact on dashboard design and user experience. Power BI Qlik
4 September 2025 Qlik vs. Power BI: Part 2 – Back-End & Data Modeling This post is Part 2 of our series on Qlik vs Power BI data preparation and modeling. We compare Qlik’s structured, script-driven approach with QVDs to Power Query’s flexible, user-friendly interface, and explain what each means for building reliable data models. Power BI Qlik