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

Tableau

JUNE 13, 2022

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. Data processing at the speed of business.

Chief Data Officer 78

Chief Data Officer Government Data Discovery Data Architecture 78

Astera

NOVEMBER 16, 2022

The 2022 Global Hybrid Cloud Trends Report by Cisco shows that 82% of organizations have adopted the hybrid cloud, which isn’t surprising given the growing popularity of hybrid data architectures among modern IT professionals. Evaluate the location of your data. Do you want to reap the benefits of hybrid cloud?

Data Architecture 52

Data Architecture Data Quality Data Warehouse Data Governance 52

Tableau

JUNE 13, 2022

Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. Data processing at the speed of business.

Chief Data Officer 72

Chief Data Officer Government Data Discovery Data Architecture 72

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively.

Agile 52

Agile Data Warehouse Data Quality Government 52

The Data Administration Newsletter

MARCH 6, 2024

Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs. This involves selecting the right cloud service providers and technology stacks that align with their data management goals.

Data Management 52

Data Management Data Security Planning Data Governance 52

The Data Administration Newsletter

JUNE 20, 2023

All business is, to some extent, a data-driven endeavour. Whether it be marketing, planning, or customer service, knowledge is power. Your company needs a system for effectively managing data. One of the great enemies of a good system is data silos. What are Data Silos?

Planning 52

Planning Data Governance Data Architecture Government 52

BizAcuity

APRIL 14, 2022

Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. With adequate market intelligence, big data analytics can be used for unearthing scope for product improvement or innovation.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

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 91

Data Governance Government Data Quality Change Management 91

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 79

Data Governance Government Data Quality Change Management 79

Sisense

JULY 6, 2020

Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products. 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 Management 98

Data Management Data Architecture Data Governance Government 98

Smart Data Collective

FEBRUARY 23, 2021

Not Having a Data Architecture Plan. Data quality matters, but along with that, even its structure matters. When you’re dealing with big data, it’s essential that you manage it well. Without a data governance framework in place, you won’t be able to find and retrieve the required data with ease.

Big Data 291

Big Data Data Quality Data Visualization Data Architecture 291

Astera

MARCH 20, 2024

For example, with a data warehouse and solid foundation for business intelligence (BI) and analytics , you can respond quickly to changing market conditions, emerging trends, and evolving customer preferences. Data breaches and regulatory compliance are also growing concerns.

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Tableau

JULY 23, 2021

“Data-leading companies were 3x more likely than data-aware organizations to require new hires to know how to persuasively present data.”. For years, the company struggled with expensive and complex data architecture—too many tools, data sources, and more. Something had to change. On average, 73.5%

Government 112

Government Banking Data Governance Data Discovery 112

Astera

JANUARY 12, 2024

Data volume continues to soar, growing at an annual rate of 19.2%. A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Think of data architecture as the blueprint for how a hospital manages patient information.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Tableau

JULY 23, 2021

“Data-leading companies were 3x more likely than data-aware organizations to require new hires to know how to persuasively present data.”. For years, the company struggled with expensive and complex data architecture—too many tools, data sources, and more. Something had to change. On average, 73.5%

Government 91

Government Banking Data Governance Data Discovery 91