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MDM in a modernanalyctics era

The technology of master data management has evolved considerably. MDM can facilitate improved data quality, streamline data sharing leading to fewer errors, and reduce redundancy in business processes. With the massive quantity of data generated on ...

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Ensure consistency and quality with MDM

Enterprises using a Data Mesh Architecture typically have multiple domains with its own systems and data, which means the data is spread around and multiple versions of the same data might exist. Users can only make the correct decisions if the data they use is consistent and correct.   The benefits of Master Data Management is ensured consistency and quality across domains, and that improvements ...

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Data quality in context for data-driven business processes

High data quality will pave the way to a successful business. Data quality is not a single measurement but is directly connected to the business value you will derive from the data. Here are some examples on how to put data quality in context.   READ...

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Why Data Fabric is essential for AI driven MDM

With the growth of advanced analytics implementations such as machine learning and other artificial intelligence, organizations will need to update their use of data management to meet the future needs.   Metadata-driven data fabric, as highlighted in Gartners report for 2022, feeds into that disruption of data management for AI, using data fabric to listen and act on that metadata, creating conti...

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A D&A leader's guide  to improve Data Quality

Good data quality provides better customer relationships, better leads and is directly linked to the quality of decision-making. The importance of data quality continues to increase as organizations progressively use data analytics to drive business ...

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Cloud-native MDM is the future

Moving or implementing Master Data Management (MDM) on the cloud provides many advantages. More vendors are now offering newer MDM products, based on cloud-native architectures. Cloud-native MDM are perfect for companies managing cloud technologies as these products can offer faster and more scalable deployments that leverage modern cloud dynamic scaling options.   READ THE ARTICLE (5 MIN)

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SaaS Analytics is catalyzing digital transformation

SaaS Analytics is the process used by SaaS companies to analyze user engagement across all touchpoints, making it possible to share data within a governed framework to establish and maintain data security and integrity. SaaS Analytics is catalyzing d...

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Data Fabric for a long-term digitalization strategy

Every organization wants to use data analytics for business advantage. To use analytics well, you need data agility that enables you to easily connect and combine data from any source your company uses. Data fabric contains all the connections and relationships between an organization’s data, offering an opportunity to track, monitor and utilize data. Optimize data value and build a long-term digi...

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What modern MDM brings to the table

Data has become more interconnected and interdependent, and Master Data Management has evolved from a simple organizational tool into something that should be thought of as a long-term project that requires constant refining and adjustment. With mult...

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Data Quality: The right tool for the right job

As the use of the cloud continues to grow, so does the importance of Data Quality. Data Quality is key for trustworthy, valuable and manageable data, and Data Quality tools can help with just that. Inaccurate data promotes poor decision-making and lower profits, but data quality tools will resolve these issues. There are several types of Data Quality tools on the market. Read the article and find ...

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Breaking down the importance of Semantic Inter-operability

The use of data Integration continues to grow, and is now taking up over a third of the average IT department budget. Semantic interoperability is the ability for systems to exchange information with shared meaning using universal standards. Semantic...

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The Multi-Dimensional Data Fabric

Not every organization knows everything they need about every cloud in every deployment scenario. The usage of data in modern business has evolved far beyond any mono-dimensional notion of how it used to be applied, into a multi-dimensional Data Fabric. Executives throughout a corporation need access to accurate data, fast, and so organizations need to make their clouds observable and all data act...

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Buy or Build a Customer Data Platform?

Creating a single source of truth for customer data and a 360-degree customer view is a complex undertaking. Buying a solution rather than building one streamlines the process. Businesses investing and using agile practices to implement Customer Data...

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The Evolution of MDM

As enterprises seek better understanding and more effective engagement with audiences across digital channels, many are working to develop a 360-degree view of customers to meet the business needs of a wider cross-section of the enterprise. The Master Data Management industry is set to more than double over the next five years and understanding this evolution is critical to making effective decisi...

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The Journey of Semantic Data Management

Semantic data has relationships, meaning and context, which makes this type of data valuable. For organizations with a command of their data, all this contextual information is available in a flash, but historically, getting this data has been a very...

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SaaS Integration Challenges and Benefits

While most organizations prefer real-time interoperability between their private clouds and SaaS applications, limited interoperability has become a major challenge that continues to hamper SaaS adoption by organizations. The best SaaS vendors will have built in support to handle these 6 core SaaS integration challenges.   READ THE ARTICLE (3 MIN)

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Combine on-prem security with SaaS convenience

With more and more data being ingested and stored by your company, layering in a third-party solution can come with concerns. For your company to get the compliance and flexibility benefits of an on-prem solution with the ease-of-deployment and conve...

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Simplify Customer Roll Out by Providing Healthy Data

Healthy data is high quality, trustworthy, cleaned up and compliant. The abundance of data can be overwhelming and make it incredibly difficult for your customers to assess what matters. Ensuring the health of the data a company deals with must be a priority for effective roll out. This helps companies to decrease the risk of data issues leading to bad decisions or security breaches.   READ THE AR...

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You aren't ripped off- you're buying back time

When having a business, the build vs buy debate will eventually come up. It can be tempting to build yourself, as you want software tools to meet the exact needs for your business. In practice, however, there are areas where a SaaS vendor will do a b...

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Why Data Fabric is a Must-Have

There are many reasons why organizations need Data Fabric for business, technical and organizational purposes. By providing a real-time 360-degree view of all aspects of a business entity, Data Fabric allows consumers to get the data that they need at any given time. Data Fabric integrates data management tools and is flexible and dynamic, making it a cost effective must-have for organizations.   ...

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The Business Advantages of MDM

Having accurate and consistent data is critical to providing your customers with a great and customized experience. Through Master Data Management, you can synchronize all data across multiple channels to maintain a single view. #MDM creates a consis...

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Built-in Integration and other SaaS Trends

As the competition among #SaaS products continues to grow, so do customers' expectations. More SaaS vendors are now providing greater integration capabilities, creating a hybrid system that combines a cloud back-end and on-premises system, as well as eliminating human error and comfortably merging a large variety of platforms.   READ THE ARTICLE (6 MIN)

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Data Fabric Ending

Data Management Nightmare

Many companies have challenges managing data security, -integration and -quality, to mention a few. Without a way to link the data management processes across multiple clouds and on-prem activities, projects can run off the rails. Data Fabric elimina...

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This Year's SaaS Predictions

The SaaS explosion and the rise of remote workforce have caused more organizations to decentralize the decision-making in SaaS purchasing. This can be terrific for speed and agility, but with no thread connecting the departments, we experience adverse outcomes. Forwards, applications and software must be able to connect to enterprise data, without the need for a central IT project.    READ THE ART...

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The hot trend of inter-enterprise MDM

One of today's most promising trends in the MDM world is Interenterprise Master Data Management. There is a huge business opportunity in being among the first enterprises to share data through this trend, that sooner or later will be hot. By collabor...

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Use Data Fabric to Avoid Project Failure

The worldwide digital transformation, which is based on data-driven culture and operation, has led to both good and bad. Organizations need to change their focus, avoiding the fallouts from 2021, using the top architectures of 2022: Data Fabric and Data Mesh.    READ THE ARTICLE (15 MIN)

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Build vs Buy: Make the right decision for your SaaS application

More and more CTO’s are choosing to buy functionality instead of trying to build it themselves. With this, you get the right expertise that will help improve business performance. Here are five things to consider when deciding between building or par...

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Reduce Risk with Rapid Rollout

For SaaS vendors to be successful the cost of customer acquisition (CAC) needs to be lower than the lifetime value of a customer (LTV). As Sales Complexity increases, so does CAC. Therefore, it’s vital for SaaS vendors to ensure that adoption is easy without the need for time consuming rollout. This greatly reduces the buyer's risk.   READ THE ARTICLE (15 MIN)

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Data Fabric, the Self-Driving Car

The emerging design concept Data Fabric is a sturdy solution to data management challenges and is key to Modernizing Data Management, reducing human errors, lowering overall costs and providing more value to your business. Here are the key pillars of...

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One Size Fits Nobody!

The term “360 view” has been commonly used within the MDM field, but in practice it’s challenging to build a solution that ensures that the master data is coordinated across all business units in a way that suits all scenarios. One size fits nobody and therefore embracing a context-aware MDM component will help your business succeed.    READ THE ARTICLE (2 MIN)

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Data Fabric Hot or Hype?

Today, organizations need complex enterprise data from many different sources delivered fast. The juice that makes the engines go, is the integration concept Data Fabric. With this architecture you don’t have to rebuild your service, but embed the ca...

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The role of Semantic Interoperability in IoT

Semantic Interoperability is a key technology to create autonomous operations and preserve the inherent meaning of data across different sources. This drives down cost and accelerates the development of new value-adding services.   READ THE ARTICLE (7 MIN)

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The holy grail of business insights

Data Fabric optimizes access to intelligently curate and distributed data, combining data management and integration while increasing the value of your data. Data Fabric is a core business function, providing access to trusted data in your data-drive...

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Make customer adoption rapid and easy

To succeed as a SaaS provider, your goal must be to make customer adoption as rapid and easy as possible. 99% of all organizations are now using SaaS, and it replaces traditional solutions for several reasons. The main drivers are agility and simplification, in their hunt for digital transformation.    READ THE ARTICLE (6 MIN)  

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Why MDM is so important and what it can do for your business

Master Data Management provides a seamless process of delivering data to all relevant systems along the process chain, helping businesses to manage data in a more efficient and effective way. An MDM platform will higher your businesses value in many ...

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New Year New Business Goals

Jump-start the new year with a plan for future success. The business landscape has shifted, and so it depends on CTOs to set goals that help master areas of vital importance. This includes bringing agility to infrastructure and optimizing technological spending. If you’re a CTO, these goals will set you up for success.   READ THE ARTICLE (7 MIN)

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Differences in Data Mesh and Data Fabric approaches

With the growth of cloud computing, problems concerning data diversification are bigger than ever. The key difference between data mesh and data fabric is in how APIs allows different applications to talk to each other. It all comes down to finding w...

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Build, buy or partner?

To get #AI solutions that connects multiple moving parts in your business, do you build, buy or partner? Often businesses lean towards the build option, however, more often buying or partnering makes more sense. Using solutions developed by others will often achieve the desired results more efficiently.   READ THE ARTICLE (10 MIN)

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Top 7 Capabilities for Next-Gen Master Data Management

While the next-gen Master Data Management will help to manage complex relationships & hierarchies, it also increases data quality and brings all data together. Here's the top 7 capabilities for Next-Gen MDM.   READ THE SLIDES (10 MIN)

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Modernizing MDM for a Data Driven World

It is no longer enough to build good systems if the systems don’t talk together effectively. Realize the benefits in an efficient MDM and expand your business value.   READ THE ARTICLE (5 MIN)

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