Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Leveraging data where it lies. Improve Visibility within Supply Chains.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

Laminar Security

DECEMBER 22, 2023

DSPM facilitates this by automating the discovery of non-compliant or over-retained data, enabling organizations to streamline their data stores to hold only what is necessary and compliant. This minimizes the risk of costly legal and regulatory penalties and reduces the overall cost of data storage.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

Cloudera

JANUARY 27, 2022

I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in. I recently attended one of Majesco’s excellent webinars hosted by Denise Garth, Chief Strategy Officer. Putting Data to New Use .

Insurance 81

Insurance IoT Risk Data Processing 81

Alation

APRIL 14, 2023

Practitioners and hands-on data users were thrilled to be there, and many connected as they shared their progress on their own data stack journeys. People were familiar with the value of a data catalog (and the growing need for data governance ), though many admitted to being somewhat behind on their journeys.

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. This is where data governance comes in. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk. It’s a future state worth investing in.

Insurance 82

Insurance Data Architecture Risk Management Risk 82

Smart Data Collective

OCTOBER 17, 2022

This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few. zettabytes of data in 2020, a tenfold increase from 6.5 Data pipeline maintenance. Unable to properly govern data.

Big Data 103

Big Data Data-driven Recreation/Entertainment Data Governance 103

Smart Data Collective

AUGUST 14, 2019

Providers can improve their data capture operations by prioritizing valuable types for their specific projects, involving the data governance and integrity expertise of health information management professionals. Thus many organizations are still cut off from the potentials inherent in the seamless sharing of patient data.

Big Data 77

Big Data Data Analytics Analytics Internet of Things 77

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. Master data management. Data governance. Data pipelines. Data quality.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Additionally, it’s crucial to consider the deployment and usage strategy for your AI platform. What types of features do AI platforms offer?

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

JUNE 1, 2023

So it’s fitting that Snowflake Summit , the premier event for data cloud strategy, will occur at Caesars Forum in Las Vegas on June 26–29 (togas not required). As a 2-time Snowflake Data Governance Partner of the Year , Alation knows how important this event is to the Snowflake community.

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

Alation

FEBRUARY 13, 2020

Be it the stellar customer and analyst sessions at Tableau Conference in New Orleans or Forrester Data Strategy & Insights 2018 in Orlando, or the professional grade, bullet proof Alation Arena of robots at Strata Data Conference in New York or the Teradata Analytics Universe in Las Vegas, our rockstar avatar didn’t fail to impress.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Alation

DECEMBER 8, 2022

Data governance is growing in urgency and prominence. As regulations grow more complex (and compliance fines more onerous) organizations aren’t just adapting data governance frameworks to drive compliance – they’re leveraging governance to fuel a growing range of use cases, from collaboration to stewardship, discovery, and more.

Data Governance 52

Data Governance Data-driven Strategy Risk 52

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. With automation, data quality is systemically assured.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Alation

FEBRUARY 20, 2020

And, now she sees a need to make data more accessible: For EA professionals, relying on people and manual processes to provision, manage, and govern data simply does not scale. But as the category gains greater recognition, more companies are building data catalog solutions. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Alation

FEBRUARY 20, 2020

The next stops on the MLDC World Tour include Data Transparency in Washington, Gartner Symposium/ITxpo in Orlando, Teradata Analytics Universe in Las Vegas, Tableau in New Orleans, Big Data LDN in London, TDWI in Orlando and Forrester Data Strategy & Insights in Orlando, again. Data Catalogs Are the New Black.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

Andrew White

JANUARY 11, 2021

Do you recommend a consulting approach strategy rather than a CDO strategy? How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52