TDAN

MAY 31, 2022

One very influential factor that can potentially undermine your data and document strategies is the natural and emotional reactions of people when things change. It is common to take great care in the selection and implementation of new technology.

Testing 52

Testing Interactive Strategy Software 52

Peter James Thomas

JANUARY 8, 2020

The recently launched Data Strategy Review Service is just one example. If you find the articles published on this site interesting and relevant to your work, then perhaps – like Neal Analytics – you would consider commissioning us to write a White Paper or some other document.

Consulting 61

Consulting Data-driven Publishing Data Strategy 61

Alation

MAY 31, 2023

This means that specialized roles such as data architects, which focus on modernizing data architecture to help meet business goals, are increasingly important to support data governance. What is a data architect? Their broad range of responsibilities include: Design and implement data architecture.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

Cloudera

NOVEMBER 30, 2020

The framework incorporates seven foundational principles designed to ensure organizations gain a sustainable competitive advantage by preventing privacy infractions and data breaches from occurring, right from the outset. . Data Strategy . Define a data strategy, classify sensitive data, and document how it is used.

Data Strategy 68

Data Strategy Strategy Risk Data Architecture 68

Sisense

JULY 6, 2020

Its main purpose is to establish an enterprise data management strategy. That includes the creation of fundamental documents that define policies, procedures, roles, tasks, and responsibilities throughout the organization. These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

AWS Big Data

OCTOBER 25, 2023

Text, images, audio, and videos are common examples of unstructured data. Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. Amazon Textract – You can use this ML service to extract metadata from scanned documents and images.

Unstructured Data 119

Unstructured Data Metadata Management Analytics 119

Sisense

AUGUST 28, 2019

What does it mean for your data? Let’s dive into what you should consider in a BI platform to ensure you’re protecting and future-proofing your company’s data strategy. But they come at the cost of true consumer flexibility — and your company’s ability to confidently invest in a cloud-agnostic data strategy.

Analytics 73

Analytics Data Strategy Strategy Data Architecture 73

BI-Survey

NOVEMBER 23, 2021

The transactional data was stored in isolated data sets and initially served only one purpose, namely, to document the transaction that had taken place. Over time, enterprises realized that data is worth more. Thus, alternative data architecture concepts have emerged, such as the data lake and the data lakehouse.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

Alation

DECEMBER 22, 2022

My source reported that there were some heated exchanges when the sleigh routing team started requesting data lineage for the naughty and nice lists and the wood toy assembly line started pulling in real-time local weather data to monitor wood supplies. We’re here to spread joy – not data! ” Santa’s Data Mesh Journey.

Dashboards 52

Dashboards Manufacturing Data Architecture Reporting 52

BI-Survey

DECEMBER 22, 2020

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

Alation

OCTOBER 12, 2021

.” Gilbert further breaks down the data challenges Cbus faced, saying: “[Another] challenge was around understanding the data. We might have found some data but what does it mean? There was a lack of documentation and a very heavy reliance on IT and business SMEs. Evaluate and monitor data quality.

Strategy 52

Strategy Enterprise Analytics Data Governance 52