DataOps is the orchestration of people, process, and technology to accelerate the quick delivery of high-quality data to data citizens. When done right, DataOps creates business value because users know what data they have, can trust the quality and its meaning, and use it without violating
The expectation to achieve faster results continues to rise. Businesses everywhere are looking for ways to improve their operational efficiency and effectiveness to enable the best decision-making. The need to optimize typically comes to a head with the reality that there are many silos within any
All industries—from healthcare to retail to banking—are digitally transforming themselves every day to become more agile and stay competitive. However, all industries depend on data to be successful, and this impacts the way enterprises plan and execute their operations. Although enterprises have
The number of business segments requiring data to drive contextual insights is increasing. Leaders are seeking new ways to manage the pressures of delivering high-quality data faster across their businesses. To date, many of these projects have focused solely on ingesting data into a data lake
From reading the news headlines of yet another retail chain closing its stores, one can easily be left with the impression that we’re in a retail apocalypse. But in reality, the overall retail industry is very strong and healthy—especially online.
What we’re witnessing however, is a transformation
The conversation around data preparation has been evolving. What started as a push for self-service access for specific use cases has now expanded to operationalizing a data pipeline across the enterprise. The goal is to create efficiencies and eliminate workflow silos to propel data strategy
The best decisions are made by extracting value from all the disparate data across your business. Yet aggregating data across external sources, regional silos and various forms of storage is not an easy challenge to solve.
Data-powered businesses need always-on access to data to keep operations
Financial services organizations face considerable challenges today. From regulatory changes to globalization to shifting customer expectations, the urgent need to re-engineer outdated systems to better manage vast amount of data can apply additional pressure. Organizations must deal with the
Most businesses, independent of their business model, are concerned with compliance and profit. The business must comply with the law, regulations and conduct guidelines, and to be sustainable, the business must remain profitable.
On the latest episode of Data Decoded, we make our predictions for 2019: top data trends, challenges and what chief data officers (CDOs) will need to do to keep up with the ever-changing data landscape. Hear from Michele Goetz, principal analyst at Forrester Research and Jay Limburn, IBM
On the latest episode of Data Decoded, we talk about data governance and compliance in the age of self-service with Donald Farmer, Principal at TreeHive Strategy. You’ll hear about the shifting balance in power between business users and IT as well as the change in role of IT from the “gate keepers