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How Data Reliability Engineering Can Solve Today’s Data Challenges

A 20-year-old article from MIT Technology Review tells us that good software “is usable, reliable, defect-free, cost-effective, and maintainable. And software now is none of those things.”  Today, most businesses would beg to differ. From payments to CRM to analytics and people operations, software runs everything.  Businesses rely on data to drive revenue and create better customer experiences – […]

Challenges of Data Governance in a Multi-Cloud World

Today, it would be really hard to find a business totally free of cloud services. In spite of battling centralized “no-cloud” policies in some enterprises, individual departments, work groups, and units are increasingly subscribing to services for data storage and backup, media services, CRM, hosted analytics, and more. Even developers are using Infrastructure-as-a-Service (IaaS) and […]

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 […]

Data Architecture Challenges

The more your business grows, the more complex your business’s Data Architecture becomes. Enterprise Data Architecture challenges abound – from the beginning and throughout the journey. Data has now become the lifeblood of any business, and business data cannot survive without a solid underlying Data Architecture. Data helps businesses to identify risks and opportunities, understand […]

Five Tips for Telling a Compelling Data Story

Running a business is impossible without data. Data clarifies the facts, revealing insights that help everyone from top executives to front-line employees make better decisions. Nonetheless, it is as much an art as a science to make sense of data and use it to maximum effect. Information overload is one reason. The amount of data […]