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Reading Time: 3 minutes Konecranes is an industry-leading group of lifting operations, with a broad customer base that includes engineering and process industries, shipyards, and ports. The company delivers productivity-enhancing solutions and services for lifting equipment of all sizes. In 2020, Konecranes had a…
Reading Time: 2 minutes If we look at a typical data science lifecycle, many of its stages have more to do with data than science. Before data scientists can begin their work regarding data science, they often must begin by: Finding the right data…
Reading Time: 3 minutes BHP is a global resources company headquartered in Melbourne, Australia. It is among the world’s top producers of major commodities, including iron ore, metallurgical coal, and copper, and has substantial interests in oil and gas. BHP has operations and offices…
Reading Time: 8 minutes Learn in 12 minutes: What makes a strong use case for data virtualisation How to come up with a solid Proof of Concept How to prepare your organisation for data virtualisation You’ve already read all about data virtualisation and you’ve…
Reading Time: 3 minutes Including external data in many forms of analytics and reporting can provide significant enrichment. New business insights can be discovered that would be impossible to unearth by working exclusively with internal data. The good news is that external data is…
Reading Time: 5 minutes In recent years, we have seen wide adoption of data analytics. However, most organizations continue to find it challenging to quickly yield actionable insights. Some issues that have been most often cited for this include: Poor data quality: While preparing…
Reading Time: 3 minutes Having been privileged to witness the evolution of the data science and artificial intelligence (AI) scene in the Middle East for the past 10 years and having spoken at one of the first big data events in Dubai back in…
Reading Time: 3 minutes The data landscape is constantly changing. Every day, we deal with tons of data in different formats from different applications, and it’s stored both on-premises and in the cloud. In this kind of a landscape, how can we gain insights…
Reading Time: 3 minutes The business value of applying data science in organizations is incontestable. Prescriptive and descriptive models can help improve business and decision making processes. Data science work can be divided into analytical and data preparation work. Examples of data preparation activities…
Reading Time: 3 minutes In my last post, I covered some of the latest best practices for enhancing data management capabilities in the cloud. Despite the increasing popularity of cloud services, enterprises continue to struggle with creating and implementing a comprehensive cloud strategy that…
