Smart Data Collective

JUNE 18, 2021

Data management is driven by machine learning. Merging machine learning with master data management solutions is creating remarkable changes in the business world. It identifies new customers and filters their requests for more information. A virtual chatbot converses with website visitors.

Artificial Intelligence 347

Artificial Intelligence Master Data Management Data Management Innovation 347

Analysts Corner

OCTOBER 17, 2024

Have you ever wondered what it really means to be a data guru in today’s age of information overload? Picture this: you’re nestled in a bustling office, your screen filled with spreadsheets and…

Master Data Management 130

Master Data Management Data Management Data Analytics Data Analytics 130

Smart Data Collective

APRIL 29, 2020

Data management approaches are varied and may be categorised in the following: Cloud data management. The storage and processing of data through a cloud-based system of applications. Master data management. The tool assigns the role of ‘data stewards’ in an organisation to manage master data.

Data Management 220

Data Management Data Warehouse Master Data Management Digital Transformation 220

Dataversity

JULY 12, 2021

In my eight years as a Gartner analyst covering Master Data Management (MDM) and two years advising clients and prospects at a leading vendor, I have seen first-hand the importance of taking a multidomain approach to MDM. Click to learn more about author Bill O’Kane.

Master Data Management 130

Master Data Management Data Management Data Quality Data Governance 130

Dataversity

DECEMBER 16, 2021

The second wave of interest for a Master Data Management (MDM) solution is here. Are you thinking of implementing a new MDM or replacing your existing MDM solution? There are some dos and don’ts when designing your next MDM solution. The post Why It’s Time for Cloud-Native MDM appeared first on DATAVERSITY.

Master Data Management 130

Master Data Management Data Management Data Architecture 130

Juice Analytics

FEBRUARY 10, 2020

If a data culture was something you could purchase, the companies answering these surveys would have done so. Most large organizations are investing heavily in data science, AI, data infrastructure, master data management, and analytical tools ( we can save you money there ).

Master Data Management 141

Master Data Management Data Management Planning 141

Adaptive US

APRIL 16, 2024

As businesses collect large amounts of data from various sources, the role of a business analyst in managing and deriving insights from this data has become increasingly important. Business analysts must master data management to fulfill their role and drive informed decision-making effectively.

Data Management 52

Data Management Master Data Management 52

Dataversity

FEBRUARY 6, 2023

Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently.

Master Data Management 130

Master Data Management Data Architecture Data Quality Data Management 130

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)? Management of all enterprise data, including master data.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Dataversity

AUGUST 30, 2024

Master data lays the foundation for your supplier and customer relationships. However, teams often fail to reap the full benefits […] The post How to Win the War Against Bad Master Data appeared first on DATAVERSITY.

Master Data Management 264

Master Data Management Data Quality Data Governance Data Architecture 264

Dataversity

MAY 31, 2021

As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The post Dear Laura: Should We Hire Full-Time Data Stewards? Click to learn more about author Laura Madsen. Welcome to the Dear Laura blog series! Last year I wrote […].

Data Governance 246

Data Governance Government Master Data Management Data Warehouse 246

Dataversity

DECEMBER 24, 2020

The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” Click to learn more about author Scott Taylor.

Data Management 242

Data Management Data Quality Master Data Management Data Governance 242

Dataversity

AUGUST 30, 2021

Click to learn more about author Kevin Campbell. As enterprises continue to transform their legacy technology into tools fit for the modern age, digital transformation has become the key buzzword describing this transition into the 21st century.

Digital Transformation 246

Digital Transformation Digital Master Data Management Data Management 246

Dataversity

JANUARY 20, 2021

The smart factory and plant now incorporate an array of connected technologies, all generating a vast volume of data. As a result, data will continue its exponential growth, […]. The post Why Effective Data Management Is Key in a Connected World appeared first on DATAVERSITY.

Data Management 246

Data Management Digital Transformation Digital Master Data Management 246

The Data Administration Newsletter

MARCH 15, 2022

I had something else nearly ready that was expanding on the broad questions of ethics in information and data management I discussed last time, drawing on some work I’m doing with an international client and a recent roundtable discussion I had with some regulators […].

Data Management 125

Data Management Master Data Management Data Governance Government 125

BizAcuity

APRIL 14, 2022

As a result, data of millions of people have been exposed in the past and it increases the privacy concerns of netizens. Unstructured Data Management. Analyzing unstructured data is vital since it holds a dearth of crucial information.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Ntara

MARCH 6, 2023

That experience includes 13 years in sales engineering and project management and seven years as managing director or a private digital agency. He has worked in a variety of leadership positions in the product information management (PIM) and master data management (MDM) market since 2014.

Master Data Management 52

Master Data Management Digital Transformation Project Management Digital 52

GAVS Technology

SEPTEMBER 2, 2021

Some examples of areas of potential application for small and wide data are demand forecasting in retail, real-time behavioral and emotional intelligence in customer service applied to hyper-personalization, and customer experience improvement. Master Data is key to the success of AI-driven insight. link] [link].

Master Data Management 52

Master Data Management Healthcare Big Data Data Mining 52

Domo

MARCH 17, 2017

Some topics Domo touched on include how brands will overcome consumer mistrust and cynicism, processes that will help teams to handle technology and data more effectively, and how leaders should nurture creative flair and human connection as smart machines join marketing departments.

Artificial Intelligence 52

Artificial Intelligence Master Data Management Government Big Data 52

The Data Administration Newsletter

MAY 18, 2021

How is the multi-billion real estate sector doing in a data-driven world? The industry sits on loads of data gathered about property, their use and its inhabitants.

Digital 98

Digital Master Data Management Big Data Data Management 98

Astera

MAY 14, 2024

What is metadata management? Before shedding light on metadata management, it is crucial to understand what metadata is. Metadata refers to the information about your data. This data includes elements representing its context, content, and characteristics. Types of metadata. Image by Astera.

Government 52

Government Data Governance Master Data Management Documentation 52

Dataversity

MAY 7, 2024

Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3.

Data Quality 147

Data Quality Data Management Master Data Management Data Governance 147

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Dataversity

AUGUST 16, 2024

I was privileged to deliver a workshop at Enterprise Data World (EDW) 2024. Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. […] The post Enterprise Data World 2024 Takeaways: Key Trends in Applying AI to Data Management appeared first on DATAVERSITY.

Data Management 130

Data Management Data Governance Government Master Data Management 130

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

JULY 13, 2023

Without a systematic approach to data preparation of these diverse data sets, valuable insights can easily slip through the cracks, hindering the company’s ability to make informed decisions. That is where data integration and data consolidation come in.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Dataversity

DECEMBER 5, 2024

I’m always on the lookout for interesting and impactful projects, and one in particular caught my attention: “Far North Enterprises, a global fabrication and distribution establishment, is looking to modernize a very old data environment.” You never know what’s going to happen when you click on a LinkedIn job posting button.

Master Data Management 218

Master Data Management Data Quality Data Management 218

Domo

SEPTEMBER 4, 2024

With Domo, we were able to build a hub where the teams can digest data from NetSuite in a user-friendly way. One of these is master data management, standardizing all of the SKUs and their categories. Instead, they rely on Domo to view and pull the ERP data relevant to their roles.

Retail 52

Retail Supply Chain Finance Master Data Management 52

Astera

AUGUST 22, 2024

Why Data Quality is Crucial for M&A Success Data quality means ensuring that a company’s information is precise, complete, consistent, timely, and relevant. Organizations need to maintain high data quality in M&As to merge operations smoothly or transfer assets.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Dataversity

NOVEMBER 1, 2021

Many in enterprise Data Management know the challenges that rapid business growth can present. Whether through acquisition or organic growth, the amount of enterprise data coming into the organization can feel exponential as the business hires more people, opens new locations, and serves new customers.

Data Governance 130

Data Governance Government Data Management Master Data Management 130

Dataversity

MAY 9, 2022

Data fabric is redefining enterprise data management by connecting distributed data sources, offering speedy data access, and strengthening data quality and governance. This article gives an expert outlook on the key ingredients that go into building […].

Data Quality 130

Data Quality Government Data Management Master Data Management 130

Dataversity

OCTOBER 7, 2021

All month long, we’ll be exploring cybersecurity-related topics to help you (and your data) stay safe online. October is Cybersecurity Awareness Month! Click to learn more about author Matt Shealy. As organizations continue to adopt remote work, more opportunities are created for both companies and employees.

Data Security 130

Data Security Cybersecurity Master Data Management Data Management 130

Dataversity

FEBRUARY 12, 2021

Data has been called the new oil. Now on a trajectory towards increased regulation, the data gushers of yore are being tamed. Data will become trackable, […]. Click to learn more about author Brian Platz.

Digital 130

Digital Master Data Management Data Governance Data Quality 130

Ntara

MARCH 17, 2021

” Before you can begin answering that call, you need a significant amount information. To effectively sell products online, your organization must deliver consistent and accurate product information to customers. Depending on your products, this information can vary greatly. Product information management (PIM).

Digital Transformation 52

Digital Transformation Digital Retail Planning 52

Astera

APRIL 3, 2024

So, when everyone in your organization understands their role in maintaining data quality, everyone will take ownership of the data they interact with, and, as a result, everyone will have the same high-quality information to work with. Data quality rules Data quality rules take a granular approach to maintaining data quality.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Astera

AUGUST 8, 2023

While data volume is increasing at an unprecedented rate today, more data doesnt always translate into better insights. What matters is how accurate, complete and reliable that data. IBM InfoSphere Information Server enables continuous data cleansing and tracking, allowing organizations to turn raw data into trusted information.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

GAVS Technology

NOVEMBER 3, 2020

In other words, data-driven healthcare is augmenting human intelligence. 360 Degree View of Patient, as it is called, plays a major role in delivering the required information to the providers. It is a unified view of all the available information about a patient. Limitations of Current Methods.

Healthcare 52

Healthcare Data Mining Data Warehouse Data Management 52