IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. But not all data is best suited for the cloud.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

IBM Big Data Hub

DECEMBER 20, 2023

Read more about IBM’s AI Ethics governance framework Benefits of a successful AI strategy Building an AI strategy offers many benefits to organizations venturing into artificial intelligence integration. An AI strategy allows organizations to purposefully harness AI capabilities and align AI initiatives with overall business objectives.

Strategy 72

Strategy Business Objectives Cost-Benefit Consulting 72

Cloudera

FEBRUARY 23, 2022

Their processes are ‘data driven’, their networks are trending towards automation, and AI systems are powering customer engagement in store , online and at home. This is all based on an enterprise IT architecture that is integrated, data rich, and agile. When it comes to enterprise offerings, it might be competitive.

Data-driven 95

Data-driven Advertising IoT Digital Transformation 95

Octopai

JULY 11, 2022

How are you, as a data quality evangelist (if you’re reading this post, that must describe you at least somewhat, right?), going to convince top-level management that adopting a data quality strategy pays big dividends? Tie data quality directly to business objectives. Better data quality?

Data Quality 79

Data Quality Strategy Business Objectives Sales 79

CIO Business Intelligence

MARCH 8, 2023

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

Manufacturing 89

Manufacturing Business Objectives Cost-Benefit Optimization 89

CIO Business Intelligence

AUGUST 5, 2022

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

IT 96

IT Manufacturing Business Objectives Cost-Benefit 96

IBM Big Data Hub

JANUARY 5, 2023

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CIO Business Intelligence

MAY 3, 2022

Last year, Dow took a bold step to make better use of its data. With a goal of eliminating isolated islands of data and making better use of business intelligence as an enterprise asset, the company launched an internal organization that seamlessly integrated IT and the company’s global business units under one umbrella.

Data Quality 85

Data Quality Machine Learning Business Objectives Business Intelligence 85

Ontotext

SEPTEMBER 1, 2023

Enterprises worldwide are analyzing Generative AI capabilities and seeking ways to leverage them for a variety of use cases to improve their competitive edge and incorporate automation and efficiency. For example, if input training data is of bad quality, the results from AI algorithms will be substandard too.

Risk 52

Risk Modeling Data Quality Data Governance 52

Alation

MAY 23, 2023

For leaders tasked with rolling out a new data governance program, getting started can feel like a daunting task. For one financial services organization, getting started took identifying key capabilities of their future data platform, tying those capabilities to business value, and working closely with the implementation team.

Business Objectives 52

Business Objectives Enterprise Data Governance Sales 52

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. A data hub contains data at multiple levels of granularity and is often not integrated. Let’s look at the components of the architecture in more detail.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Cloudera

JANUARY 27, 2022

Virginia’s Consumer Data Protection Act (CDPA) is similar, but not exactly the same as California’s Consumer Privacy Act (CCPA). When they opt in to sharing their data, individuals are already realizing the value of this connected digital world. Putting Data to New Use . For example, in the U.S.,

Insurance 85

Insurance IoT Risk Data Processing 85

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

CIO Business Intelligence

MARCH 7, 2023

Align data science and data governance programs Remember when infosec was brought in at the end of the application development process and had little time and opportunity to address issues? Here are some force-multiplying differences achievable by agile data teams: Want that dashboard, then update the data catalog.

Digital Transformation 145

Digital Transformation Data Governance Experimentation Machine Learning 145

Ontotext

MAY 16, 2024

There is a confluence of activity – including generative AI models, digital twins, and shared ledger capabilities – that are having a profound impact on enterprises. It is also beginning to shine light on the emergence of the Graph Center of Excellence (CoE) as an important contributor to achieving strategic objectives.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance.

Consulting 67

Consulting B2B Cost-Benefit Sales 67

Cloudera

JULY 29, 2022

Similarly, data should be treated as a corporate asset with a dedicated long-term strategy that lets the organization store, manage, and utilize its data effectively. Most importantly, it helps organizations control costs and reduce risks, enforcing consistent security and governance across all enterprise data assets.”.

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. Nine Steps to Data Modeling. Reverse engineer databases into data models.

Modeling 98

Modeling Metadata Data Governance Visualization 98

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Pillar 5: Data governance Establishing the right governance that balances control and access gives users trust and confidence in data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

datapine

DECEMBER 11, 2019

Increased collaboration: SaaS developments enhance a business’s ability to promote collaboration across teams and departments due to the facilitation of file sharing, in addition to a distinct ease of reading and understanding across systems. 9) A Mobile-First Mindset.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

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

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

CIO Business Intelligence

MAY 30, 2024

Dan Roberts: With your experience helping large organizations transform the customer experience and raise the digital quotient enterprise-wide, what advice do you have for other leaders embarking on large-scale transformations? Leaders should view data quality as a strategic asset.

Data Quality 96

Data Quality Key Performance Indicator Digital Transformation Management 96

datapine

FEBRUARY 22, 2022

While privacy and security are tight to each other, there are other ways in which data can be misused and you need to make sure you are carefully considering this when building your strategies. For this purpose, you can think about a data governance strategy. Identify key performance indicators (KPIs).

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Jen Stirrup

OCTOBER 28, 2019

They also need to consider their ROI over their data; their Risk of Incarceration (thank you to Karen Lopez for that one!). It is part of a wider strategy known as data governance. What is data governance, anyway? Even the blockchain is data. “I don’t need any more reports or data now, thanks!”

IT 85

IT Business Intelligence Data Governance ROI 85

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

Ontotext

FEBRUARY 12, 2024

As organizations become more data-driven, different use cases will always require different types of transformations, putting a heavy load on the centralized teams. For large enterprises, data mesh distributes data ownership and reduces dependencies between services.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Alation

AUGUST 26, 2021

Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more. Data Intelligence: Origin, Evolution, Use Cases. Examples of Data Intelligence use cases include: Data governance.

Metadata 64

Metadata Data Governance Dashboards Software 64

Cloudera

FEBRUARY 22, 2021

I have developed this framework to help organizations not only establish the business case for investing in CDP, but also provide a mechanism to prioritize analytical investments based on specific business objectives (e.g., reduce technology costs, accelerate organic growth initiatives). query failures, cost overruns).

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82