It may sound counter-intuitive but the “what” of metadata is probably the least important thing. Why do I say that? We, let’s start by looking at what metadata is. Metadata is information about other data that gives it context. Two common examples are the data dictionary and the business glossary. The “what” of the data…
But to business, having customer data consolidated into a master data management application often leaves a bad taste.
What makes the difference, for any AI project, is the quality and quantity of data that is available to feed the model.
We all know the three V’s of big data – volume, variety and velocity (it’s big, it’s complex and it changes rapidly). Recent events got me thinking about the three E’s… Explosiveness We have been hearing for years of the massive volumes of data being generated every second, yet, for most businesses the examples used…
Concerns about the quality of data are inhibiting the adoption of AI in South Africa and world wide – access the report
Proper information governance will help to ensure that executives, auditors and shareholders can trust the financial results being presented. Information governance is about changing behaviour to maximise the value of data, manage complexity and mitigate risks.
Almost everybody working with personal data will be aware of the glut of legislation, worldwide, that is seeking to protect consumers against the abuse of their personal data. In Europe, GDPR; in South Africa, PoPI, in Nigeria, DPR; in California, CCPA… Around the world, data laws are changing to promote the ethical use of consumer…
Learn how DNB is using data to reinvent itself as a customer-centric, digital bank
Earlier this month, Data Governance coach, Nicola Askham published a piece entitled Why you need data governance. In the piece she observed that the driver for data governance is shifting from defensive drivers such as compliance to offensive drivers enabling revenue. Nicola describes how data management activities – such as data quality and master data…
Earlier this year, our partner, Syncsort published the results of their 2019 Data Trends survey. A key finding; IT is grappling with data delivery and value Only nine percent of respondents called their organisation very effective at getting value from data, with many struggling to make data accessible to users. What is Data Streaming? Data…
Both mainframe and Hadoop skills are in high demand – bridge the gap and reduce costly, time-consuming data collection and preparation tasks
Most companies would acknowledge that quality customer data is important. In most cases, however, customer data quality is not good enough. Why? Changing business requirements Most businesses have a history. Customer data may have been accumulated over years, or decades. Data that was captured in the past may not have complied with the requirements of…
