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Entity Quality Management for Data Quality?
Data quality is one of the major challenges that organizations suffer from, consuming up to 50% of data users time, costing up to 30% loss in revenue and destroying trust in data. In today's data-dependent business environment, the urgency for impeccable data quality is driven by a confluence of market forces. Fears of…
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Don't miss Issam Hijazi's October 12th talk on Decoding Decision Intelligence
Issam Hijazi, Head of Data Management Solutions at Quantexa, will be speaking at the DataTech Series, Analytics, AI & Cloud Conference on Decoding Decision Intelligence: Pioneering the Future of Smart Decision-Making. This event will be on 12 October 2023, 8:30 am in Sydney NSW, Australia. Questions or comments for…
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The Inherent Problems of MDM
The aim to have one master record for each real world entity has always been hard to achieve—and it’s becoming even harder. Companies are contending with: Multiple internal applications—many of which will contain different versions of the same master data record Numerous external data sources that provide…
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Recording for The Power of “Contextually Connected Entities” for Maximising Decision Intelligence
Hi everyone! If you've missed the webinar on The Power of “Contextually Connected Entities” for Maximising Decision Intelligence, you can now watch it on demand using the below link! We're keen to hear your thoughts on the topic, so please leave it below! Cheers
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What is Entity Quality?
Most organizations are concerned with data quality. What's usually neglected is the Entity Quality. But what exactly is Entity Quality? Entity Quality, or EQ for short, is a way to determine the quality of a resolved entity. Say we get a resolved entity based on matching 3 different records, based on some matching logic.…
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Aug 3 Webinar: The Power of “Contextually Connected Entities” for Maximising Decision Intelligence
As defined by Gartner, Decision Intelligence improves decision-making by understanding and engineering how decisions are made, and how outcomes are evaluated, managed, and improved by feedback. Using artificial intelligence, Decision Intelligence unlocks the power of entity resolution and graph analytics to turn data into…
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Exploring the Challenges of Achieving a Single View in Datawarehousing
When it comes to achieving a single view of individuals or businesses in Datawarehousing, several key insights emerge: 1️⃣ Data Integration: Integration is a critical aspect. Organizations often struggle with merging data from disparate sources such as customer databases, transaction systems, and marketing platforms.…
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Data Quality is STILL a fundamentally unsolved issue!
Having met a couple of customers in the banking sector this week in South East Asia, a real pain that have been constantly shared was data quality. That's due to incomplete information, inconsistency, lack of standardized entries and so on. Issues that we all probably know of. Not that's a surprise of any sort, but the…
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To use a Graph DB or not?
Graph databases (Graph DB) are gaining popularity as an alternative to traditional relational databases due to their ability to manage highly interconnected data. However, the decision of whether or not to use a Graph DB is dependent on several factors and is not straightforward. Some users of Graph DB technology have…
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Rethinking MDM and Our Approach to It - Complete Blog Series is out!
Hello folks, The complete blog series about "Rethinking MDM and Our Approach to It" is now published. Here are the links for each individual part: Part 1/3: There is no such thing as a "Single View" Part 2/3: Data isn't a first-class citizen Part 3/3: Traditional techniques & rigid models ought to die Please share your…
