Tableau

OCTOBER 10, 2021

At Tableau, we define governance as the combination of controls, roles, and repeatable processes that ensure the responsible use of data across an organization. Plus, watch this interview with IDG’s Enterprise Consulting Director, John Gallant, and former Tableau VP of Engineering for Data Management, Zaheera Valani: .

Government 92

Government Data Governance Supply Chain Digital Transformation 92

Cprime

JANUARY 4, 2024

How does Atlassian Cloud ensure data management and security? – Atlassian Cloud provides robust data management and security protocols, including encryption and compliance with standards like HIPAA. Future compliance with FedRAMP further ensures that enterprise data is secure and managed with the highest standards.

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Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Ntara

JUNE 26, 2023

Sometimes product data management can seem vast or vague, even to IT experts who know technology and data well. At Ntara, we remove the mystery by clearly defining what each data engagement involves and how it helps your business. It also includes where each attribute lives in the data hierarchy.

Data Management 52

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CMW Lab Blog

JUNE 14, 2023

Business process automation is not restricted to data management and record keeping alone; it allows you to exercise absolute control over various business issues like facility management, marketing, customer relationships, employee analytics, staff recruitment, standardization, but to mention a few.

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Astera

APRIL 24, 2024

Lack of Accountability and Ownership It emphasizes accountability by defining roles and responsibilities and assigning data stewards, owners, and custodians to oversee data management practices and enforce governance policies effectively. It automates repetitive tasks, streamlines workflows, and improves operational efficiency.

Data Governance 52

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Astera

OCTOBER 10, 2023

Managing data effectively is a multi-layered activity—you must carefully locate it, consolidate it, and clean it to make it usable. One of the first steps in the data management cycle is data mapping. Data mapping is the process of defining how data elements in one system or format correspond to those in another.

IBM Maintenance 52

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IRM Connects

AUGUST 28, 2019

Would that help your organisation make better changes? How about if you could easily see the benefits of your process improvement work? Andrew Sanford, Director, We Are Lean And AgileWe. The post Process Improvement – Its All About The Benefits appeared first on IRM Connects, by IRM UK | IT Blog.

Business Process Management 49

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Cprime

AUGUST 17, 2023

This is the second in a three-part series covering ITSM principles and applying them using JSM: Enabling ITSM Change Management With JSM Streamline Your ITSM—Service Catalog and CMDB Powered by JSM Perfecting Customer Management Using JSM (coming soon!) Allowing the CMDB to become outdated severely reduces its value.

Change Management 52

Change Management Retail Government Planning 52

Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Data modeling.

Data Governance 91

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Tableau

SEPTEMBER 23, 2021

Low data discoverability: For example, Sales doesn’t know what data Marketing even has available, or vice versa—or the team simply can’t find the data when they need it. . Unclear change management process: There’s little or no formality around what happens when a data source changes. Data modeling.

Data Governance 79

Data Governance Government Data Quality Change Management 79

Ntara

JANUARY 11, 2023

These tools optimize and automate your advertising, social, commerce, content, and data management. Of these solutions, product information management (PIM) is the catalyst for ecommerce sales. Innovation never stops and successful companies should expect change management to be ongoing.

Digital Transformation 52

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Cprime

JULY 29, 2021

Invest in lasting change – If you have Slack or know that they use it in IT, consider rearchitecting it for the wider organization in order to leverage it as a business translation top layer over the top of all of your technologies. Get everyone onboard and invest in change management to adjust to a simplified way of working.

Agile 52

Agile Digital Transformation Data Governance Government 52

Actian

DECEMBER 9, 2018

Unfortunately, even modern data warehousing tools have their shortcomings. Batch data loads lead to delays in current data. IT change-management policies meant to ensure data quality and security increases the development time for new insights. The post When Fresh Data Matters appeared first on Actian.

Data Warehouse 40

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Actian

APRIL 1, 2019

Modern IT environments are complex and for them to work properly in support of your business, individual systems need to share data with each other. Managing a bunch of point-to-point interactions not only requires a lot of administrative overhead, it also makes it difficult for you to effectively manage changes.

Supply Chain 40

Supply Chain Data Security Digital Transformation Digital 40

Actian

APRIL 1, 2019

Modern IT environments are complex and for them to work properly in support of your business, individual systems need to share data with each other. Managing a bunch of point-to-point interactions not only requires a lot of administrative overhead, it also makes it difficult for you to effectively manage changes.

Supply Chain 40

Supply Chain Data Security Digital Transformation Digital 40

Cprime

APRIL 11, 2024

– Telco leaders must focus on investment in AI capabilities, talent acquisition, adopting an agile operating model, technology infrastructure, data management, and ethical considerations. Technology Infrastructure and Data Management : A robust technology infrastructure that can support the demands of generative AI is essential.

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Data Pine

FEBRUARY 22, 2022

If you go in with the right mindset you will be prepared to address issues like complicated data problems, change management resistance, waning sponsorship, IT reluctance, and user adoption challenges. For this purpose, you can think about a data governance strategy.

Business Intelligence 87

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Astera

JANUARY 12, 2024

Collaboration and Cross-Functionality While both approaches encourage collaboration among data professionals, Data Vault does not inherently emphasize cross-functional teams. Data Vault achieves this through versioning and change management, while Data Mesh relies on domain teams to adapt their data products.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Tableau

JULY 15, 2021

Similarly, TPN Services Partners optimize customers’ Tableau investment through implementation, change management, and other value-add services to help ensure data transformation initiatives are successful. One such partner is Informatica , a TPN Select Technology Partner.

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Tableau

JULY 15, 2021

Similarly, TPN Services Partners optimize customers’ Tableau investment through implementation, change management, and other value-add services to help ensure data transformation initiatives are successful. One such partner is Informatica , a TPN Select Technology Partner.

Digital Transformation 52

Digital Transformation Supply Chain Data Governance Government 52

Insight Software

SEPTEMBER 26, 2023

These statistics underscore the importance of addressing transparency issues, implementing effective data cleansing processes, and proactively closing the skills gap in SAP data management to ensure data reliability and effectiveness in decision-making.

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Insight Software

APRIL 25, 2024

The internal controls include physical IT assets like computers, network hardware, and electronic devices that handle financial information intangible IT assets like IT security, data backup, risk management, change management, and access management.

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