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 74

Strategy Business Objectives Cost-Benefit Consulting 74

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. 5 recommendations for a data strategy in the new multi-everything landscape.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Octopai

JULY 11, 2022

, 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? Stakeholders might include data owners, senior business data experts, senior data architects, and IT program managers.

Data Quality 79

Data Quality Strategy Business Objectives Sales 79

CIO Business Intelligence

MARCH 8, 2023

“Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

Manufacturing 92

Manufacturing Business Objectives Cost-Benefit Optimization 92

IBM Big Data Hub

JANUARY 5, 2023

A modern data architecture like Data Mesh and Data Fabric aims to easily connect new data sources and accelerate development of use case specific data pipelines across on-premises, hybrid and multicloud environments. Efficiently adopt data platforms and new technologies for effective data management.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CIO Business Intelligence

AUGUST 5, 2022

“Where I’ve seen AI projects fail is in trying to bring the massive amounts of data from where it’s created to the training model [in some public cloud] and get timely insights, versus taking the model and bringing it closer to where the data is created,” Lavista explains.

IT 97

IT Manufacturing Business Objectives Cost-Benefit 97

FineReport

APRIL 9, 2024

These case studies showcase how organizations leverage data analysis tools to drive strategic decision-making and operational efficiency. Retail Industry Transformation : A leading retail chain implemented a robust BI platform to analyze customer purchasing patterns and inventory management.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

MAY 3, 2022

I would rather have a few focused areas that are impactful for the business, where we can significantly make improvement, rather than hundreds of areas and barely make progress. By focusing on a few areas that are aligned to our business objectives, we get wins for the company, our customers, and our people.

Data Quality 88

Data Quality Machine Learning Business Objectives Business Intelligence 88

Cloudera

SEPTEMBER 19, 2023

Adding another position may not be terribly appealing, but there is one C-suite role every company should consider—chief data and analytics officer (CDO or CDAO). The CDO is an essential role in a data-driven organization.

IT 75

IT Data Strategy ROI Data-driven 75

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. Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

Cloudera

FEBRUARY 23, 2022

Clearly cloud infrastructure – public and private – are key, but managing those infrastructure resources will be essential too. AI is nothing without data: how do we address problems of data governance, data silos, and enterprise data policy? How do we combine the challenges of network and IT clouds?

Data-driven 90

Data-driven Advertising IoT Digital Transformation 90

TDAN

MARCH 16, 2021

No matter where data comes from, becoming data-driven depends on every member of your organization being able to find, access, and use the data they need.

Business Objectives 87

Business Objectives Data-driven IT Metadata 87

Ontotext

SEPTEMBER 1, 2023

LLMs can even take tone and style into account where responses can be modified by incorporating personas such as asking ChatGPT (powered by an LLM) to explain the concept of data governance through a Taylor Swift style lyric. 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

Alation

MARCH 14, 2023

What is a data strategy? A data strategy is a long-term plan setting out the technologies, processes, people, and rules that manage data. It should make data available, maintain data consistency and accuracy, and support data security. Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

O'Reilly on Data

JULY 28, 2020

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 362

Marketing Experimentation Metrics Testing 362

Alation

MAY 12, 2022

Whether you have a traditional assembly line or employ the most cutting-edge technology, your most valuable resource is data. Data governance is the foundation on which manufacturers ensure the effective use of valuable data by giving you the ability to handle, manage, and secure your data. Here’s how.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

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 81

Insurance IoT Risk Data Processing 81

CIO Business Intelligence

FEBRUARY 20, 2023

Administrators can earn additional certifications for app building, CPQ (configure price quote), and business analysis (see below). Salesforce Administrator A Salesforce Certified Administrator manages and maintains an organization’s Salesforce CRM system.

Consulting 69

Consulting B2B Cost-Benefit Sales 69

Anmut

MARCH 24, 2022

The definition of data landscape differs depending on the context and who you ask. There are three common ways to look at and define the “data landscape”: Some people use the term to describe the ever-growing $157 billion-plus global data management market, with a heavy emphasis on navigating the complex world of data technology.

ROI 52

ROI Measurement Data-driven Data Transformation 52

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

NOVEMBER 2, 2023

Rapid advancements in artificial intelligence (AI), particularly generative AI are putting more pressure on analytics and IT leaders to get their houses in order when it comes to data strategy and data management. But the enthusiasm must be tempered by the need to put data management and data governance in place.

Data Strategy 135

Data Strategy Strategy Sales Data Governance 135

Ontotext

MAY 16, 2024

The Graph CoE is an extension of the Office of Data Management and the domain of the Chief Data Officer. Information Literacy A Graph CoE is the best approach to ensure organizational understanding of the root causes and liabilities resulting from technology fragmentation and misalignment of data across repositories.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

BizAcuity

APRIL 1, 2023

Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Business Intelligence (BI) encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, process it and deliver it to business users in a format that is easy to understand and provides the context needed for informed decision making.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

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. Harness model reusability and design standards.

Modeling 98

Modeling Metadata Data Governance Visualization 98

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. When it comes to FSI, one of the key findings from the report is the importance of risk management and regulatory compliance when it comes to data management.

Data Architecture 84

Data Architecture Data Strategy Risk Management Strategy 84

CIO Business Intelligence

SEPTEMBER 20, 2023

“The personalization of services and products is going to be fundamental in the insurance sector,” she says, an aspect she’s spearheading, along with a commitment to data and AI. I’ve been on the company’s management committee for 14 years and I’ve had roles in various departments.

Modeling 98

Modeling Insurance IT Cost-Benefit 98

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. AWS Glue Data Quality checks for and alerts on poor data, making it straightforward to spot and fix issues before they harm your business.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

IBM Big Data Hub

OCTOBER 20, 2023

Gaining an understanding of available AI tools and their capabilities can assist you in making informed decisions when selecting a platform that aligns with your business objectives. These factors are also important in identifying the AI platform that can be most effectively integrated to align with your business objectives.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

datapine

DECEMBER 11, 2019

In Cloud SaaS, pre-existing disaster recovery protocols are in place to manage potential system failures. This means that your business’s data is available and secure regardless of a data breach or system failure.

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

datapine

FEBRUARY 22, 2022

Now we are going to take that a step further with the following 16 steps to a better business intelligence strategy. These steps are imperative for businesses, of all sizes, looking to successfully launch and manage their business intelligence. What Is A Business Intelligence Strategy? It’s that simple.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

FEBRUARY 10, 2022

Here are some of the ways data classification makes it easier to leverage information while keeping sensitive data protected: Maintain Governance and Compliance. The more PII you collect, the more you need to carefully manage user access to data. Identify data governed by GDPR &CCPA , HIPAA, PCI, SOX, and BCBS.

Data Governance 52

Data Governance Risk Insurance Strategy 52

Jen Stirrup

OCTOBER 28, 2019

The Microsoft Power BI team have released a preview Data Lineage feature and it is a good start for organizations who are starting to think about data management. Businesses need a clear line of sight on data asset ownership and stewardship. It is part of a wider strategy known as data governance.

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