CATEGORY:

Data Quality

DataAnalytics and SaaS trends to watch in 2023

As we enter the new year, it is exciting to see what data analytics and SaaS trends will emerge and shape the industry in the time to come. Data analytics is an essential part of many businesses, and businesses are increasingly relying on data collec...

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How Businesses Can Improve Data Quality

High data quality is when the data is well-suited to serve its purpose. Centralizing the data makes it more usable and ensures that everyone is working with the same dataset, processes and requirements. Having data accessible to employees in different departments is beneficial for organizations that want to leverage data effectively. Data synchronization ensures data accuracy, security and complia...

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Unlocking the Value of Data

Data Fabric has emerged as a leading solution for managing and integrating data. It does this by creating a “fabric” of data across multiple data stores and systems, which leads to companies saving costs and time. This fabric allows everyone, from th...

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A Proactive Approach to Data Quality

There is a collective understanding that there is a Data Quality problem, but the response is often learning to live with it. Thirty percent of our data is unusable in its current form, and the solution for many companies is to discard it and use what is left to make a decision. Instead, with the right strategies, companies can better manage and use the data for better decision-making. Firstly, it...

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Data: an Enterprise- Wide Opportunity

This article presents seven trends that will shape data in the near future, one of them being the growth of Cloud-Based Data Infrastructure and Platforms. With the increasing amount of data available, cloud-based data infrastructure solutions are hel...

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Data Governance or Data Management?

There is significant confusion about the similarities and differences between Data Governance and Data Management  within organizations. While Data Management focuses on the delivery of information technology-based outcomes, Data Governance focuses on the people.   Organizations need both of these disciplines, which overlap in the fact that they are required to work in harmony with each other. Rea...

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Trends in Data Architecture

What role have Data Management and Data Architecture played in data-driven organizations, especially during the beginning of the COVID-19 pandemic?   Based on a 2020 survey of almost 300 industry professionals, a number of trends emerged, including i...

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Getting Value from your Data

Cognizant has invited Axel Borge, CEO of Sesam.io, to join them on their Leadership and Innovation podcast and talk about how you can get value from your data.     There is nothing in data that gives it quality, and you cannot measure quality from the data itself. Data Quality is only when you get the right data at the right time in a form that enables you to make decisions and solve problems. But...

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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 t...

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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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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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The benefits of good data management

Master Data Management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. A well-executed data management strategy can make sure that the data in corporate systems is accurate, available and accessible. This will help companies gain potential competitive advantages over their business rivals, both by improving operational effectivene...

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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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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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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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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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