datapine

SEPTEMBER 29, 2022

Effective DQM is recognized as essential to any consistent data analysis, as the quality of data is crucial to derive actionable and – more importantly – accurate insights from your information. There are a lot of strategies that you can use to improve the quality of your information. 1 – The people.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Anmut

MARCH 24, 2022

We could give many answers, but they all centre on the same root cause: most data leaders focus on flashy technology and symptomatic fixes instead of approaching data transformation in a way that addresses the root causes of data problems and leads to tangible results and business success.

ROI 52

ROI Measurement Data-driven Data Transformation 52

Alation

OCTOBER 28, 2021

This data is also a lucrative target for cyber criminals. Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. What is Data Governance in Healthcare?

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

Peter James Thomas

OCTOBER 30, 2018

Prelude… I recently came across an article in Marketing Week with the clickbait-worthy headline of Why the rise of the chief data officer will be short-lived (their choice of capitalisation). It may well be that one thing that a CDO needs to get going is a data transformation programme. It may be to improve Data Quality.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Alation

JANUARY 17, 2023

The modern data stack started to gain popularity in the early 2010s, as companies began to realize the benefits of big data. Most importantly, cloud computing has gotten much faster and cheaper, emerging as the core technology driving the development of the modern data stack. Who Can Adopt the Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Anmut

APRIL 6, 2022

We’ve done our best to help you understand what a data asset is and why treating data as an asset is a smart strategy for your business. Now we’d like to discuss how you can start extracting maximum value from your data by taking a closer look at what data asset management looks like in practice.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 52

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Curious to learn how the data catalog can power your data strategy?

Metrics 52

Metrics Dashboards Sales Reporting 52

IBM Big Data Hub

MARCH 14, 2024

This is supported by automated lineage, governance and reproducibility of data, helping to ensure seamless operations and reliability.    IBM and AWS have partnered to accelerate customers’ cloud-based data modernization strategies.

Cost-Benefit 78

Cost-Benefit Metadata Optimization Management 78

Alation

AUGUST 11, 2022

In the technology industry, even the most incremental trends often get framed in next-generation terminology. 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. Tools became stacks.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

CIO Business Intelligence

JUNE 14, 2022

By most accounts, companies are making the necessary investments, as evidenced by the majority of heads of IT (52%) saying data analytics and machine learning will drive the most IT investment at their organizations this year, according to CIO.com’s State of the CIO survey. Anatomy of a data strategy.

Data Transformation 145

Data Transformation Data-driven Data Strategy Strategy 145

CIO Business Intelligence

NOVEMBER 7, 2023

Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. The aim is to normalize, aggregate, and eventually make available to analysts across the organization data that originates in various pockets of the enterprise.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

CIO Business Intelligence

JANUARY 24, 2024

These autonomous software agents, working collaboratively in a decentralized fashion, are not just a technological marvel; they are an imperative response to the escalating complexity of today’s challenges. This flexibility renders agent assemblies an essential element in contemporary automation strategies.

IoT 118

IoT Machine Learning Optimization Internet of Things 118

Ontotext

FEBRUARY 12, 2024

Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh. Once accomplished, an effective implementation spurs a mindset in which organizations prioritize and value data for decision-making, formulating strategies, and day-to-day operations.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

IBM Big Data Hub

JULY 5, 2023

It gained rapid popularity given its support for data transformations, streaming and SQL. But it never co-existed amicably within existing data lake environments. Fast forward almost 15 years and reality has clearly set in on the trade-offs and compromises this technology entailed. What can you do next?

Data Lake 62

Data Lake Metadata Cost-Benefit Data Warehouse 62

Birst BI

FEBRUARY 25, 2020

Data never leaves Snowflake with Birst’s ability to support the reporting and self-service needs of both centralized IT and decentralized LOB teams. Birst’s real-time connectivity to Snowflake delivers a full-stack BI solution with enterprise-grade security, data governance & auditing for organizations of any size and scale.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MARCH 14, 2024

With the right technology solutions in place, you can stay ahead of the proverbial learning curve and experience the full potential of your Fabric integration from day one. It offers a transparent and accurate view of how data flows through the system, ensuring robust compliance. Or does it?

Analytics 52

Analytics Management Reporting Enterprise 52