Smart Data Collective

APRIL 29, 2020

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. What is data management?

Data Management 249

Data Management Data Warehouse Master Data Management Digital Transformation 249

The Data Administration Newsletter

FEBRUARY 16, 2022

The global master data management (MDM) market is estimated to grow from USD 1.6 Traditional MDM systems are purpose-built for a single type of data or domain. billion in 2019 to USD 3.4 billion by 2024, with the multi domain MDM solution segment expected to grow at the highest CAGR during this forecast period.

Master Data Management 105

Master Data Management Data Management 105

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

Dataversity

DECEMBER 24, 2020

The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The post The 12 Days of Data Management appeared first on DATAVERSITY.

Data Management 242

Data Management Data Quality Master Data Management Data Governance 242

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. What is different now is that machine learning makes it easier to get these tasks done more quickly, efficiently, and cost-effectively.

Artificial Intelligence 361

Artificial Intelligence Master Data Management Data Management Innovation 361

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

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

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. The enterprise […].

Data Governance 130

Data Governance Government Data Management Master Data Management 130

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

BizAcuity

APRIL 14, 2022

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Data Management. Unscalable data architecture.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Dataversity

AUGUST 16, 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

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

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)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Data Warehouse Data Quality 52

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

The Data Administration Newsletter

NOVEMBER 2, 2021

Data is the new oil. As customer data becomes increasingly important to your success, you need to manage it well. As a business, your most valuable asset is customer data. Data can be used to identify […]. It’s cheaper, more plentiful, and just as valuable.

Data Management 80

Data Management Master Data Management Business Intelligence Business Intelligence 80

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

The Data Administration Newsletter

MAY 1, 2024

As part of a master data management (MDM) implementation, a series of rules must be implemented to determine if two records refer to the same real-world entity that they represent. In the world of MDM, this is often referred to as the golden record, and master data match rules identify when two should become one.

Master Data Management 52

Master Data Management Data Management Big Data 52

Astera

JANUARY 2, 2024

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. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

The Data Administration Newsletter

APRIL 18, 2023

The foundation of a business’s digital transformation is effective data management. Master data management services allow you to effectively utilise the new currency of data and effectively collaborate between different functional verticals, departments, and stakeholders for better productivity, efficiency, and […]

Digital Transformation 52

Digital Transformation Digital Master Data Management Data Management 52

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

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

The Data Administration Newsletter

FEBRUARY 16, 2021

Data supply chains in pharma and life sciences are generally long and complex. This impacts reference data in particular because its management is very distributed, leading to the increased need for downstream integration as well as overall redundancy. Although it might seem […].

Reference Data Management 59

Reference Data Management Supply Chain Data Management Master Data Management 59

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

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

Astera

MAY 9, 2023

In such a scenario, it becomes imperative for businesses to follow well-defined guidelines to make sense of the data. That is where data governance and data management come into play. Let’s look at what exactly the two are and what the differences are between data governance vs. data management.

Data Governance 40

Data Governance Government Data Management Data Security 40

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

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

Insight Software

AUGUST 4, 2023

Any data from Power XL can be shared with all other Custom Visuals. It is a no-code solution for any Excel expert to both develop and deploy a quick Inventory App: Power BI Navigation: All data can be edited. Easy to use master data management.

Master Data Management 52

Master Data Management Visualization Data Management 52

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

Insight Software

AUGUST 28, 2023

“This acquisition seamlessly connects insightsoftware’s expertise and product offerings with our extensive visualization library.

Supply Chain 75

Supply Chain Master Data Management Finance Data Quality 75

Juice Analytics

MAY 19, 2021

Without arriving at shared definitions and terminology, your data discussion will get stuck in fruitless debates. Where to get started: There are many high-tech Master Data Management solutions… not the place to start. How is revenue calculated?

Master Data Management 59

Master Data Management Documentation Data Requirement Data Management 59

Domo

MARCH 17, 2017

Gartner Data & Analytics Summit The Gartner Data & Analytics Summit saw more than 700 Analytics and BI Leaders, Architects, Senior IT, Information Management, Master Data Management, and Business Leaders gathering in Sydney to discover how to lead in the age of infinite possibilities.

Artificial Intelligence 52

Artificial Intelligence Master Data Management Government Big Data 52

Domo

MAY 13, 2021

So make sure you have a culture that builds the change muscle, and you will always have a way to stay ahead of the evolving data landscape.”. In terms of solutions, Gene De Libero, Chief Strategy Officer at GeekHive , recommends developing a master data management (MDM) strategy.

Data Discovery 64

Data Discovery Master Data Management Data Warehouse Data Security 64

Inflexion Analytics

JULY 18, 2021

In order to master data management, you’ll need to understand the metrics. This incredibly useful feature can predict trends like the effectiveness of a particular promotion and tracking user interest, as well as measuring the growth rate of a product. Defining the DAU metrics.

Master Data Management 52

Master Data Management Data Analytics Data Analytics Visualization 52

Astera

AUGUST 22, 2024

For a successful merger, companies should make enterprise data management a core part of the due diligence phase. This provides a clear roadmap for addressing data quality issues, identifying integration challenges, and assessing the potential value of the target company’s data.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Astera

JULY 13, 2023

Data integration involves combining data from different sources into a single location, while data consolidation is performed to standardize data structure to ensure consistency. Organizations must understand the differences between data integration and consolidation to choose the right approach for their data management needs.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

The Data Administration Newsletter

AUGUST 16, 2022

In the first article, I introduced and explained the approach to application development called Domain-Driven Development (or DDD), explained some of the Data Management concerns with this approach, and described how a well-constructed data model can add value to a DDD project by helping to create the Ubiquitous Language that defines the Bounded Context (..)

Data Modelling 59

Data Modelling Data Management Master Data Management Data Architecture 59