Alation

JANUARY 25, 2022

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. This is a key component of active data governance. These capabilities are also key for a robust data fabric. Automated Data Orchestration (AKA DataOps).

DataOps 52

DataOps SQL ML ML 52

Precisely

JUNE 26, 2023

Forward-thinking businesses invest in digital transformation, cloud adoption, advanced analytics and predictive modeling, and supply chain resiliency. 2023 Data Integrity Trends & Insights Results from a Survey of Data and Analytics Professionals Read the report Here are some of the top takeaways that stood out to panelists.

Data Quality 52

Data Quality Data Silos Analytics Data Governance 52

Alation

APRIL 18, 2023

Top use cases for data profiling Data governance Data governance describes how data should be gathered and used within an organization, impacting data quality, data security, data privacy , and compliance. Current profiling tools are point and click, which free up my time for analysis.

Data Profiling 52

Data Profiling Data Quality Data Governance Data Pipeline 52

Alation

AUGUST 11, 2022

DataOps sprung up to connect data sources to data consumers. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. The modern data stack depicts this whole loop of how the data is produced and consumed. Tools became stacks.

Data Warehouse 52

Data Warehouse Data Engineering Data Engineer Data Engineering 52

Dataversity

JULY 1, 2022

From payments to CRM to analytics and people operations, software runs everything. Businesses rely on data to drive revenue and create better customer experiences – […]. The post How Data Reliability Engineering Can Solve Today’s Data Challenges appeared first on DATAVERSITY.

Analytics 52

Analytics Analytics DataOps Data Pipeline 52

Alation

MAY 24, 2022

Data consumers need that information to trust that the data is good to use. Data quality is one of the primary signals behind whether or not a data asset or analytical report can be trusted. So understanding data quality is extremely important for an organization to drive the correct decisions from analytics.

Data Quality 52

Data Quality Data Pipeline DataOps Analytics 52

Pickl AI

DECEMBER 11, 2024

Robotic Process Automation (RPA) can take over repetitive tasks such as data entry or cleansing , while AI algorithms can process vast datasets to identify patterns and generate insights. AI-driven tools also facilitate predictive analytics, enabling businesses to make proactive decisions.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52

Dataversity

NOVEMBER 15, 2021

DataOps is something that has been building up at the edges of enterprise data strategies for a couple of years now, steadily gaining followers and creeping up the agenda of data professionals. The number of data requests from the business keeps growing […]. appeared first on DATAVERSITY.

DataOps 110

DataOps Analytics Analytics Data Quality 110

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. What is Enterprise Data Analytics? Data engineering. Analytics forecasting.

Analytics 52

Analytics Analytics Data Governance DataOps 52

Precisely

JULY 15, 2024

Key Takeaways Data Mesh is a modern data management architectural strategy that decentralizes development of trusted data products to support real-time business decisions and analytics. It’s time to rethink how you manage data to democratize it and make it more accessible. What is Data Mesh?

Data Governance 72

Data Governance DataOps Data Silos Data Pipeline 72

Precisely

FEBRUARY 9, 2024

But with data integrity, you gain more trustworthy and dependable AI results for confident data-driven decisions that help you grow the business, move quickly, reduce costs, and manage risk and compliance. Mainframe and IBM i systems remain critical parts of the modern data center and are vital to the success of these data initiatives.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

Dataversity

JUNE 23, 2021

The role of the chief data officer (CDO) has evolved more over the last decade than any of the C-suite. The post Speed Up AI Development by Hiring a Chief Data Officer appeared first on DATAVERSITY. Click to learn more about author Jitesh Ghai. As companies plan for a rebound from the pandemic, the CDO […].

AI 59

AI AI DataOps Data Quality 59