Alation

JULY 15, 2022

And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical. Data as an Insight: Operational Transformation.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

IBM Big Data Hub

JANUARY 22, 2024

The GDPR defines the circumstances under which companies can legally process personal data. An organization must establish and document its legal basis before collecting any data. The organization must communicate this basis to users at the point of data collection.

Measurement 88

Measurement Risk Data Processing Data Collection 88

CIO Business Intelligence

MAY 17, 2022

Last month, a leaked Facebook document obtained by Motherboard showed that Facebook has no idea what’s happening with its users’ data. “We We do not have an adequate level of control and explainability over how our systems use data,” said the document, which was attributed to Facebook privacy engineers.

Risk 140

Risk Consulting Machine Learning Data Science 140

Cloudera

AUGUST 12, 2021

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

Data-driven 108

Data-driven Manufacturing Insurance Risk Management 108

IBM Big Data Hub

FEBRUARY 23, 2024

Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. Some of the most important GDPR principles include the following: All processing must have an established legal basis: Data processing is only acceptable if the organization has an approved legal basis for that processing.

Measurement 82

Measurement Risk Data Collection Data Processing 82

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy.

Data Governance 83

Data Governance Metadata Data-driven Enterprise 83

Alation

FEBRUARY 13, 2020

Benefits of a Data Catalog. What Does a Data Catalog Do? A modern data catalog includes many features and functions that all depend on the core capability of cataloging data—collecting the metadata that identifies and describes the inventory of shareable data. Benefits of a Data Catalog. Conclusion.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

O'Reilly on Data

JULY 28, 2020

Qualitative data collection tools (such as SurveyMonkey , Qualtrics , and Google Forms ) should be joined with interface prototyping tools (such as Invision and Balsamiq ), and with data prototyping tools (such as Jupyter Notebooks ) to form an ecosystem for product development and testing. Conclusion.

Marketing 362

Marketing Experimentation Metrics Testing 362

erwin

APRIL 21, 2020

Think about the pandemic itself and the numerous global entities involved in identifying it, tracking its trajectory, and providing guidance to governments, healthcare systems and the general public. One example is the European Union (EU) Open Data Portal , which is used to document, catalog and govern EU data related to the pandemic.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

Think about the pandemic itself and the numerous global entities involved in identifying it, tracking its trajectory, and providing guidance to governments, healthcare systems and the general public. One example is the European Union (EU) Open Data Portal , which is used to document, catalog and govern EU data related to the pandemic.

Measurement 96

Measurement Sales Data Governance Metadata 96

Sisense

JULY 6, 2020

These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing. Data governance is the foundation of EDM and is directly related to all other subsystems. – How do you plan to use these final data products?

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Cloudera

DECEMBER 14, 2020

CDP is the next generation big data solution that manages and secures the end-to-end data lifecycle – collecting, enriching, processing, analyzing, and predicting with their streaming data – to drive actionable insights and data-driven decision making. Why upgrade to CDP now?

Big Data 68

Big Data Data-driven Data Collection Enterprise 68

Octopai

AUGUST 26, 2021

The entry features the data asset description (i.e. the stalk of barley symbol and the circular numeral signs) and the data owner (i.e. This data catalog didn’t need automation. It was perfectly reasonable for an individual to manually manage a Sumerian data collection (especially if you paid him enough barley).

Metadata 52

Metadata Cost-Benefit Data Collection Reporting 52

Alation

JANUARY 17, 2023

Data would be pulled from various sources, organized into, say, a table, and loaded into a data warehouse for mass consumption. This was not only time-consuming, but the growing popularity of cloud data warehouses compelled people to rethink this process. Data governance is a key use case of the modern data stack.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Alation

JULY 7, 2022

As Alation worked to create a new category of enterprise data management tool, the data catalog , Aaron wanted to also use this new technology to advance the cause of academic research. Aaron turned his attention from Alation Open to launch the Alation Data Catalog. Supporting the next data-literate generation.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Andrew White

JANUARY 9, 2022

Is there a good map that shows the connections between data, advanced analytics, digital, innovation, etc. I would have to admit that there are few documents that talk about all the connections across any set of topics. Could you precise to which complementary research you mentioned when you talked about a data governance survey ?

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

datapine

FEBRUARY 22, 2022

They can govern the implementation with a documented business case and be responsible for changes in scope. On the flip side, document everything that isn’t working. What data analysis questions are you unable to currently answer? For this purpose, you can think about a data governance strategy.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

FEBRUARY 1, 2022

A new research report by Ventana Research, Embracing Modern Data Governance , shows that modern data governance programs can drive a significantly higher ROI in a much shorter time span. Historically, data governance has been a manual and restrictive process, making it almost impossible for these programs to succeed.

Data Lake 52

Data Lake Data Governance ROI Cost-Benefit 52

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. And one enterprise alone can generate a world of data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

DataKitchen

JANUARY 23, 2023

Data lineage can also be used for compliance, auditing, and data governance purposes. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages.

Testing 130

Testing Data Governance Data Quality Data-driven 130

Alation

SEPTEMBER 1, 2022

Of respondents surveyed: 65 percent agree that analysts spend a lot of time searching for the right data and analyses and repeating work that has already been done. 59 percent consider providing more information about data as the topmost priority to improve this situation… but, only 39 percent are taking steps to improve the situation.

Reporting 52

Reporting Metadata Data Governance Interactive 52

erwin

JULY 17, 2019

Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. Many organizations prioritize data collection as part of their digital transformation strategy.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Alation

OCTOBER 12, 2021

Folks can work faster, and with more agility, unearthing insights from their data instantly to stay competitive. Yet the explosion of data collection and volume presents new challenges. Like many, the team at Cbus wanted to use data to more effectively drive the business. The third challenge was around trusting the data.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

O'Reilly on Data

DECEMBER 19, 2018

Data management isn’t limited to issues like provenance and lineage; one of the most important things you can do with data is collect it. Given the rate at which data is created, data collection has to be automated. How do you do that without dropping data? Toward a sustainable ML practice.

Machine Learning 261

Machine Learning Software Testing Metadata 261