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Priorities of Highly Successful CDOs

Highly successful CDOs share some best practices. Data governance is necessary, but not sufficient on its own. While you do have to continuously improve data quality and do things with better data, you also need to be producing value alongside of tha...

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Data Quality: Begin with

the end

in mind!

Most organization understand that data represent one of their most important assets, but many focus on managing their data sources without practicing product management. It is easy to get caught up in the technology and activities and lose sight of the end goal, but the data only has potential value and is only realized when transformed into an information product or service used to solve a real b...

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Data Integration for an evolving future

Data integration is the most important component in leveraging data to achieve enterprise strategic objectives, and the need for an effective data integration framework is at an all-time high. For organizations to successfully leverage data, it needs...

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The Cost of Poor Quality Data

High quality data decreases the risk of poor business decisions and enhances confidence in your data, but what does it cost you to not maintain your data and let it decay? Among the hidden costs of poor data quality and outdated customer data is wasted time, missed opportunities, inaccurate reports and a suffering RIO. Mistakes that are repeatedly made might also weaken a brand's reputation as wel...

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Experiences from data quality projects

Getting to great data quality need not be a blood sport! But there must be a method to the madness, and you need to be persistent and properly involve relevant stakeholders to achieve long lasting improvements. This article aims to provide some pract...

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Data Quality is in the eye of the beholder

In this article two butterflies are compared, each representing a common use of data quality: firstly and most commonly in the natural or original position or place for existing systems, and secondly for use in data migration. Butterflies are beautiful, delicate yet resilient creatures, great in number and variety. The trick is determining how beautiful you want your data, a subjective assessment,...

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The magic behind Data Fabric

Data fabric is the common “net” that stitches integrated data from multiple data and application sources and delivers it to data consumers. The key differentiator of a data fabric is its reliance on metadata to accomplish this goal. Implementing a da...

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Data Integration

- for a connected future

Satya Nadella’s vision, as presented during the 2021 Microsoft Ignite conference, of a distributed computing is a push foreward for a more connected and established future. Data growth is not going to slow down, and network performance isn’t going to radically speed up. Fundamentally rethinking enterprise data integration strategy is the only viable option. To achieve this vision, it will require ...

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Data Fabrics: how it can help you

Data fabrics enrich the data and make it more useful for users. Data fabrics standardize and make data accessible for everyone regardless of their location/position in the company. Read the article to see how data fabric adoption can help your organi...

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How to decide whether to build, partner or buy

In the minds of every CEO and their executive teams are strategies for achieving growth. Regardless of what your growth goal is you are faced with three options: Build, Buy or Partner. By evaluating a company’s business objectives, strategic driving force, market situation, competitive arena, financial needs, customer demands, and stage of the product lifecycle, a company can determine the most ap...

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Data Quality over Quantity

In this digitally transformed economy, data is considered gold, and your company’s success can be measured by the efficiency of the data it possesses. Poor data quality costs businesses trillions of dollars every year, as flawed data reflects the com...

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Data fabric to the CEOs: how and why

The importance of data fabric becomes more and more clear, as enterprises need fast answers and the ability to share information with everyone. A data fabric is an integrated layer (fabric) of data, connecting all the data from all its sources and then sharing this data in a way data-consumers can utilize, giving you end-to-end visibility and information of all the data throughout your company, sa...

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SuccessfulMDM strategies are critical for your business

The global master data management (MDM) market is increasing and expected to reach $27.9 billion by 2025. Robust data management capabilities provide better business decisions, improves operational efficiency and drives superior customer experience (...

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Why MDM is important

With the explosion of big data and rapid progress of analytics and IoT, consistency of referencing and applying high-quality master data has become crucial. MDM should be an essential part of any company’s data strategy, as well as one of the core missions for C-Suites and Executives, and should be forward-looking with long-term commitment.   In other words, MDM needs to be treated as an investmen...

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Data Fabric: The foundation of modern data management

When relying on traditional integration, which involves moving data and manually writing code, data scientists and data engineers spend almost 80% of their time wrangling data before any analytics are actually performed. Data fabric is the foundation...

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Automating with Data Fabric

The fact that data comes from from different data sources typically implies that they have different data semantics, which makes unifying and integrating these datasets a challenge. The semantic differences across the datasets make it hard to incorporate them together in the same analytical task, reducing the ability to get a holistic view of the data. Data Fabric techniques can automate key steps...

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How companies can benefitfrom Data Fabric

Becoming a data-driven organization and managing data is harder than ever. Challenges such as lack of data access and complexity of data integration prevent organizations from maximizing value of and fully leveraging data.   Data Fabric, one of the t...

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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 daily basis, MDM can help organizations achieve efficient data management, generate patterns, and make meaning out of complex sets of data across the ...

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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 ...

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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 THE ARTICLE (3 MIN)

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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 i...

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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 decisions. With poor data quality costing organizations an average of 12.9 million USD every year, D&A leaders need to stay up-to-date and improve...

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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 a...

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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 digital transformation, supporting fast-paced innovation, and driving the real-time insight that businesses need to make fast decisions, and the innova...

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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 re...

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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 multi-domain modern MDM the Data Quality is improved, and businesses can live up to customers' expectations of data accuracy, consistency and privacy. Thi...

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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 lo...

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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 systems can automatically interpret the meaning of incoming data, improving database queries in both efficiency and quality. Learn more about the ben...

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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 Fabr...

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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 Platforms iteratively can gain a significant strategic advantage over their competitors. Given the technical complexities, business importance, and e...

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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 Maste...

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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 manual and slow process. Instead of looking at semantic data management as an endpoint on a map, it makes more sense to focus on a data management st...

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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 h...

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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 convenience of a SaaS vendor, buyers of software should incorporate a hybrid architecture. Learn more about the hybrid deployment model and the security, t...

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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 ...

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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 better job, using their expertise to improve your product. When you buy instead of building, you can keep your team focused on the areas where they rea...

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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 a...

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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 consistent and simplified workflow, helping you derive maximum value from your business data and differentiate your business in the market.   READ THE ARTIC...

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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...

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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 eliminates the need to manually manage data, which can end this nightmare and instead create possibilities to use data on a higher level.   READ THE ARTICLE ...

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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 advers...

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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 collaborating with business partners, you can optimize master data and create new data driven revenue models together.   READ THE ARTICLE (2 MIN)

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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 D...

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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 partner.   READ THE ARTICLE (5 MIN)

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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...

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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 a data fabric architecture D&A leaders must know.   READ THE ARTICLE (5 MIN)

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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 a...

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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 capability as a component.    READ THE ARTICLE (4 MIN)

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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 (...

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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-driven organization.    READ THE ARTICLE (4 MIN)

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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 simplif...

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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 factors. Read about the pros here!   READ THE ARTICLE (7 MIN)

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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 technologic...

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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 which one meets the needs of your company.   READ THE ARTICLE (7 MIN)

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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 wi...

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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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