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DataOps For Business Analytics Teams

DataOps For Business Analytics Teams

Business analysts often find themselves in a no-win situation with constraints imposed from all sides. Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and...

How DataOps is Transforming Commercial Pharma Analytics

How DataOps is Transforming Commercial Pharma Analytics

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from...

Implementing a Pharma Data Mesh using DataOps

Implementing a Pharma Data Mesh using DataOps

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a...

Accelerating Drug Discovery and Development with DataOps

Accelerating Drug Discovery and Development with DataOps

A drug company tests 50,000 molecules and spends a billion dollars or more to find a single safe and effective medicine that addresses a substantial market. Figure 1 shows the 15-year cycle from screening to government agency approval and phase IV trials. Drug...

Addressing Data Mesh Technical Challenges with DataOps

Addressing Data Mesh Technical Challenges with DataOps

Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture. We’ve talked about data mesh in organizational terms (see our first post, “What is a Data Mesh?”) and how...

Use DataOps With Your Data Mesh to Prevent Data Mush

Use DataOps With Your Data Mesh to Prevent Data Mush

In our last post, we summarized the thinking behind the data mesh design pattern. In this post (2 of 5), we will review some of the ideas behind data mesh, take a functional look at data mesh and discuss some of the challenges of decentralized enterprise architectures...

What is a Data Mesh?

What is a Data Mesh?

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. With an architecture comprised of numerous domains, enterprises need to manage order-of-operations issues, inter-domain...

Using DataOps to Drive Agility & Business Value

Using DataOps to Drive Agility & Business Value

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca Ryan Chapin, Former...

Data Observability and Monitoring with DataOps

Data Observability and Monitoring with DataOps

Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. They cause people to work long hours at the expense of personal...

Forrester – Chart Your Course To Insights-Driven Business Maturity

Forrester – Chart Your Course To Insights-Driven Business Maturity

As organizations strive to become more data-driven, Forrester recommends five actions to take to move from one stage of insights-driven business maturity to another.   After establishing a solid strategy, the second phase involves planning key processes and practices...

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