Timo Elliott

DECEMBER 6, 2024

At UKISUG Connect 2024, AstraZeneca charted their plans for the future, with some help from SAP. Start Data Management EarlyReally Early “Whenever you start working on data, its always too late,” emphasized Russell Smith. Early planning and alignment with leadership are essential.

Innovation 130

Innovation Digital Pharmaceutical Data Governance 130

Analysts Corner

MARCH 30, 2025

He explained that unifying data across the enterprise can free up budgets for new AI and data initiatives. Second, he emphasized that many firms have complex and disjointed governance structures. He stressed the need for streamlined governance to meet both business and regulatory requirements.

Government 130

Government Data Warehouse Cloud Computing Artificial Intelligence 130

ElegantJ BI

AUGUST 10, 2016

But, in an age of user and data breaches, the IT team may be hesitant to allow meaningful, flexible access to critical business intelligence. The team can also monitor data warehouses, legacy systems and best-of-breed solutions and identify redundant data, performance issues, data parameters, or data integrity issues.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

But, in an age of user and data breaches, the IT team may be hesitant to allow meaningful, flexible access to critical business intelligence. The team can also monitor data warehouses, legacy systems and best-of-breed solutions and identify redundant data, performance issues, data parameters, or data integrity issues.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

But, in an age of user and data breaches, the IT team may be hesitant to allow meaningful, flexible access to critical business intelligence. In order to protect the enterprise, and its interests, the IT team must: Ensure compliance with government and industry regulation and internal data governance policies.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

Data Governance 102

Data Governance Government Data Quality Change Management 102

Smart Data Collective

FEBRUARY 23, 2021

It would also go against the entire point of using data for marketing. To avoid this, you should consider: Adding meta-tags Coming up with a taxonomy governance Applying version control Scan data regularly to correct problems. Not Having a Data Architecture Plan. Using Small Datasets.

Big Data 356

Big Data Data Quality Data Visualization Visualization 356

Tableau

SEPTEMBER 23, 2021

If we asked you, “What does your organization need to help more employees be data-driven?” where would “better data governance” land on your list? We’re all trying to use more data to make decisions, but constantly face roadblocks and trust issues related to data governance. . A data governance framework.

Data Governance 97

Data Governance Government Data Quality Change Management 97

Dataversity

MARCH 26, 2025

Data-driven decision-making is essential in all organizations, but using low-quality data can potentially be more harmful than using no data at all. Unreliable or outdated data can have huge negative consequences for even the best-laid plans, especially if youre not aware there were issues with the data in the first place.

Data Quality 173

Data Quality Planning Data Governance Government 173

Analysts Corner

AUGUST 15, 2022

Photo by Myriam Jessier on Unsplash There’s no denying that data is vital for businesses. Data helps organizations better understand their customers, track progress against plan, and develop strategies for long-term success. This is because inaccurate or outdated data can lead to many problems.

Data Quality 246

Data Quality Government Data Governance Change Management 246

Dataversity

MAY 29, 2024

times, according to a […] The post Data Logistics Mandates: Devising a Plan to Ensure Long-Term Data Access appeared first on DATAVERSITY. One million companies globally use 365 and create 1.6 billion documents each day on the platform and in the next two years, that is expected to grow by 4.4

Logistics 162

Logistics Planning Documentation Digital Transformation 162

The Data Administration Newsletter

DECEMBER 6, 2022

Unfortunately, a lot of those data breaches come from poorly organized or secure data. The solution to these sensitive issues in the healthcare industry is simple: data governance. Better yet, an efficient data governance plan that can clear up numerous […].

Data Governance 52

Data Governance Healthcare Government Planning 52

Astera

APRIL 29, 2024

An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. However, creating a solid strategy requires careful planning and execution, involving several key steps and responsibilities.

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Astera

MAY 22, 2024

What is Data Governance Data governance covers processes, roles, policies, standards, and metrics that help an organization achieve its goals by ensuring the effective and efficient use of information. Data governance manages the formal data assets of an organization.

Data Governance 52

Data Governance Government Data Discovery Data Security 52

Astera

APRIL 22, 2024

This data comes from various sources, ranging from electronic health records (EHRs) and diagnostic reports to patient feedback and insurance details. According to RBC, the digital universe of healthcare data is expected to increase at a compound annual growth rate of 36% by 2025.

Data Governance 52

Data Governance Healthcare Government Data Discovery 52

Tableau

OCTOBER 26, 2021

This is the final post in a three-part series about data and analytics governance. In case you missed them, read the first to hear from Tableau’s own data governance team , and the second to learn how good governance accelerates your Data Culture. How to formalize an approach to building a Data Culture.

Government 102

Government Agile Documentation Data Governance 102

Smart Data Collective

APRIL 24, 2023

We hear a lot about the fundamental changes that big data has brought. However, we don’t often hear about the server side of dealing with big data. Servers Play a Crucial Role in Big Data Governance In today’s digital age, the data stored on servers is critical for businesses of all sizes.

Big Data 298

Big Data Data Governance Government Monitoring 298

Tableau

OCTOBER 26, 2021

This is the final post in a three-part series about data and analytics governance. In case you missed them, read the first to hear from Tableau’s own data governance team , and the second to learn how good governance accelerates your Data Culture. How to formalize an approach to building a Data Culture.

Government 98

Government Agile Documentation Data Governance 98

Astera

APRIL 24, 2024

What is a Data Governance Framework? A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Smart Data Collective

DECEMBER 21, 2022

It is a strategic activity that demands an understanding of the data and its sources, including causes of errors and what can be done to minimize the transition of poor data into downstream applications. With these tips in mind, you should be well on your way to improving your organization’s data quality.

Big Data 325

Big Data Data Quality Data Governance Government 325

Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

ElegantJ BI

OCTOBER 24, 2016

In the new world of government regulation, the technology (IT) team and accounting team are both required to monitor, manage and report on financial and regulatory and business process compliance. These auditing requirements are meant to ensure that financial, planning and operational systems are adequately controlled and protected.

Data Governance 130

Data Governance Government Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 24, 2016

In the new world of government regulation, the technology (IT) team and accounting team are both required to monitor, manage and report on financial and regulatory and business process compliance. These auditing requirements are meant to ensure that financial, planning and operational systems are adequately controlled and protected.

Data Governance 130

Data Governance Government Business Intelligence Business Intelligence 130

ElegantJ BI

OCTOBER 24, 2016

In the new world of government regulation, the technology (IT) team and accounting team are both required to monitor, manage and report on financial and regulatory and business process compliance. These auditing requirements are meant to ensure that financial, planning and operational systems are adequately controlled and protected.

Data Governance 130

Data Governance Government Business Intelligence Business Intelligence 130

BizAcuity

APRIL 14, 2022

According to Gartner, through 2025, 80% of the organizations seeking to scale their digital business will fail because they do not take a modern approach to data and analytics governance. Such is the significance of big data in today’s world. With the amount of data being accumulated, it is easier when said.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Dataversity

JULY 22, 2022

Economic disruptions are forcing organizations to rethink the way they plan. The post 3 Data Management Tips to Help Plan for the Day After Tomorrow appeared first on DATAVERSITY. Disruptions, whether geopolitical, pandemic, legislative, or workforce-related, never seem to end. While we may wish […].

Planning 130

Planning Data Management Data Quality Data Governance 130

Dataversity

MARCH 29, 2024

Instead of starting data protection strategies by planning backups, organizations should flip their mindset and start by planning recovery: What data needs to be recovered first? What systems […] The post World Backup Day Is So 2023 – How About World Data Resilience Day?

Planning 299

Planning Data Governance Data Quality Data Architecture 299

Analysts Corner

DECEMBER 21, 2022

Data Scientist — Job and Salary According to LinkedIn’s 2021 Report for Jobs on the Rise , hiring for data scientist and machine learning job roles increased by 46% and 32% respectively between 2019 and 2020. The demand for composite data analytics professionals will increase by 31% by 2030.

Big Data 246

Big Data Healthcare Data Quality Data Analytics 246

ElegantJ BI

SEPTEMBER 30, 2021

Data Hub A Data Hub is used to process, transform and govern data and may be used for large volumes of data. It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

A Data Hub is used to process, transform and govern data and may be used for large volumes of data. It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources. Intended Use of Data. Data Warehouse.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

A Data Hub is used to process, transform and govern data and may be used for large volumes of data. It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources. Intended Use of Data. Data Warehouse.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Timo Elliott

MAY 17, 2023

They plan to launch a business focusing on this in 2024, with more details to be shared soon. As they strive to become a data-driven enterprise, Hanes has identified key requirements, including a digital foundation, advanced analytics, end-to-end planning, and a resilient supply chain network.

Innovation 264

Innovation Supply Chain Planning Data Governance 264

Analysts Corner

NOVEMBER 24, 2022

The future state of business processes requires new ways of working that result in a great deal of change, and it is important to understand what change means to different groups of stakeholders, so as to design and implement an effective change management plan to help teams to get used to the new ways of working.

Data Governance 130

Data Governance Business Analysis Business Analysis Government 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. If you select the right solution, you can ensure data and personal security and provide appropriate access at all levels of the organization.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. If you select the right solution, you can ensure data and personal security and provide appropriate access at all levels of the organization.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics. Your organization can enjoy an interactive view and clean, clear data so that it is easier to use and interpret to provide data quality and clear watermarks to identify the source of data. Data Governance and Self-Serve Analytics Go Hand in Hand.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

The BAWorld

JULY 22, 2024

They gather insights on consumer and competitor data to determine which products will be bought, who is most likely make the purchase decision, at what price.Their findings steer corporate strategy and marketing plans. Data Quality Analyst The work of data quality analysts is related to the integrity and accuracy of data.

IBM Maintenance 95

IBM Maintenance Data Governance Data Quality Government 95