What role have Data Management and Data Architecture played in data-driven organizations, especially during the tumultuous and uncertain period at the beginning of the COVID-19 pandemic? Industry thought leader Donna Burbank, the Managing Director of Global Data Strategy, discussed these issues in her presentation Trends in Data Architecture at DATAVERSITY®’s Data Architecture Online conference last July. Burbank shared insights from a 2020 […]
What Are Data Governance Metrics?
Data Governance involves organizing, managing, and monitoring the integrity and security of data in an enterprise’s system. It requires businesses to establish policies and frameworks to facilitate these processes, ensuring that any new or existing data complies with current internal and external regulatory standards such as GDPR. Data Governance metrics help measure the efficacy and impact of a […]
5 Simple Ways to Improve Data Literacy
Building and maintaining a data-driven business is the only way to ensure your long-term success in today’s increasingly digital commerce landscape. This involves more than hiring a team of IT professionals or buying the latest data analytics tools – it requires you to improve your employees’ Data Literacy skills as well. Data-driven organizations must capture […]
Best Practices for Managing a Data Fabric
When data is not viable for integration across systems and processes, business users will seldom have the right coverage of data. If people lack knowledge about data and its importance logically, it often becomes a challenge, which leads to less impactful decisions. A data fabric is an architectural capability that can give organizations a “data […]
Why Data Storytelling Matters to Data Scientists
In an increasingly data-driven world, companies worldwide have transformed the way they operate. Much of this is thanks to their ability to access a volume of data that was not available in the past. However, more recently, organizations have realized that simply collecting data is not enough, with many struggling to master the language of data. […]
DataOps: What It Is and What the Enterprise Gets Wrong
By 2025, the total amount of data created, captured, copied, and consumed globally is projected to reach more than 180 zettabytes. With this rapid growth, the ability to harness data for business impact is even more vital. To keep up with the exponential data growth and resulting challenges, data teams must adjust the way they operate. […]
What Is Data Leadership?
Data leadership refers to individuals implementing improved processes for coordinating and managing data within an enterprise. Although data-driven decisions are on the rise, business leaders still struggle to make accurate decisions because of issues such as data silos, poor data quality, and lack of data trust. More companies are focusing on hiring team members with extensive […]
Self-Serve Advanced Analytics Requires Culture Change
Small and medium-sized businesses (SMBs) are often challenged to satisfy all the roles and responsibilities in the organization, and most team members wear more than one hat. That feeling of being overstretched is typical of growing businesses and, in an increasingly competitive market with businesses fighting for skilled resources, it is difficult to meet budget […]
Data Science Best Practices
When done right, Data Science delivers a lot of measurable values like improved products and services, enhanced customer experiences, sales growth, new business developments channels, and overall business efficiency. However, according to most reliable industry publications, most Data Science projects fail because the Data Science best practices are not followed. Why Do Businesses Need Data […]
CDOs Harness Flood of External Data for Smarter Decision-Making
The first chief data officer (CDO) was appointed at Capital One in 2002. Although just 12% of Fortune 500 companies had a CDO a decade later, more than two-thirds of major companies employ CDOs now. Companies generate unfathomable amounts of information – one credible estimate compares the daily data output to 166,000 times the data contained in the Library of Congress. […]