Advanced Analytics
Augmented analytics stands at the forefront of a new era in business intelligence. It extends traditional analytics with AI and ML to enhance data preparation, insight generation, and insight explanation.
By
on Jan 31, 2024
At the heart of a resilient supply chain is the ability to anticipate, adapt, and respond promptly to changes. This agility is grounded in data - that informs decision-making.
By
on Apr 11, 2024
When questions of technology selection and architecture design are dominating your data agenda, some important goals and outcomes can get overlooked. A roadmap approach can help by keeping the focus on what data can do for your people, without losing sight of the bigger picture that aligns investments in data with strategic priorities.
By
on Dec 12, 2022
According to a report by Forrester, 60-73% of enterprise data goes unused for analytics, meaning that despite significant investments in data tools, most businesses aren’t harnessing the full potential of their information.
By
on Feb 12, 2025
Whether you're a business executive looking for strategic clarity, an analyst wanting faster answers, or an operations team striving for real-time visibility, Qlik provides a flexible and intelligent approach to data.
By
on Jun 23, 2025
Explore how to seamlessly integrate Qlik Sense into strategy to enhance data-driven decision-making and optimise return on investment (ROI).
By
on Jan 31, 2024
Having an agile, resilient, and efficient supply chain is critical to retain a competitive advantage in today's fast-paced and ever-changing business environment. The increasing complexity of modern supply chains has made it more challenging for organisations to manage operations efficiently, with disruptions becoming a common occurrence, organisations need to respond quickly to minimise the impact on business. This is where the value of data comes in...
By
on Mar 7, 2023
As data continues to grow and diversify, many organisations are finding that traditional methods of managing information are becoming outdated. Here we explore how different types of data repositories and how data lakes in the cloud can provide significant value to engage new types of analytics like big data and machine learning and to better manage this data complexity.
By
on Aug 22, 2019
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