5 Data Governance challenges and How to address them
TekGenio Blog
by Prasad
1y ago
Data Governance Challenges Quality data is always an asset for a company. However, if you do not know the way to govern data, you may face several issues. So, data governance is highly important for increasing visibility, lowering costs, and improving customer relations. But, data governance involves some challenges. Let us talk about those challenges and the potential ways to overcome them.  Lack of commitment Several organizations do know the significance of data governance. However, it is true that bad data quality can result in undesirable business outcomes. For instance, wrong addres ..read more
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How Can Data Migration Transform Your Business?
TekGenio Blog
by Prasad
1y ago
Data Migration Transform Scattered data in various systems is of no value to your organization. However, data becomes highly valuable when you keep it organized in a single place. With this approach, you will also have a clear insight into your business. Your team can use data about your products, services, and customers to make more effective decisions. So, proper data management is essential to get the optimal value from your data. However, data migration is now a part of this management process. You can implement your data migration strategy to make the best use of the data. What is data mi ..read more
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5 Best practices for successful data Governance programs
TekGenio Blog
by Sara Weblink
1y ago
Data Governance Programs How do you find data for your business? Who can provide you with relevant and valuable data? Today, several businesses make data-driven decisions to increase productivity. Implementing a good data governance strategy is a time-saving and money-saving option for every business. In fact, data is important for analytics, business intelligence, and Machine Learning. Moreover, you can use data for research, sales, and marketing.  Advantages of data governance strategies Data governance benefits you in different ways- Ensure data consistency Improve data quality Make y ..read more
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Data Cleansing And Automating Data Cleansing Tasks
TekGenio Blog
by Prasad
1y ago
Why cleanse data? From resource planning to customer relationship management, everything needs data. However, as there are several sources of data, we can anticipate data pollution. Your everyday business activities and system migrations affect data reliability. Some of us still use spreadsheets and manual forms, which contain inaccurate data. There may also be inconsistent and duplicate data in the database. So, cleansing the data is one of the important tasks. Why do you need data cleansing services? Data that you use every day for your regular business activities should be reliable. Without ..read more
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What Is Data Quality Management And Why Is It Important?
TekGenio Blog
by Prasad
1y ago
Why Is Data Quality Important? As your organization collects data every day, it has become important to manage the quality of this data. In fact, data is the resource of your company. However, until the health of your database is good, you cannot obtain the best value from it. Your competitors have also established their data-driven businesses. However, one thing that can differentiate you from them is your investment in a data quality management program. What is data quality management? Before hiring professionals to manage your organizational data, it is important to have a clear concept abo ..read more
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What are the major consequences of poor data quality
TekGenio Blog
by Prasad
1y ago
The Consequences Of Poor Data Quality Do you know that very few enterprises trust their data and use it confidently? More than 90% of businesses have no confidence in the effectiveness of their data. Accurate, clean, and correctly formatted data always gives value to your business. On the contrary, low-quality data can pose a risk to your business. Organizations that do not enter proper data and maintain it pay for data management. It involves both direct and indirect costs. The direct one refers to the cost of resources essential for maintaining the data. What is the indirect cost? Data quali ..read more
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Role of IT Team vs Business Analysts in Data Quality Management
TekGenio Blog
by Prasad
1y ago
Data Quality Management (DQM) is more often than not considered to be the method of enhancing business through collection and analysis of data to eventually aid decision making. The key intended purpose of data quality management is to ensure creation of optimum value for the consumer. Data analysis, statistical models, a wide array of quantitative and qualitative methods – all are dependent upon the data quality. The DQM Program should be implemented by all organizations as it helps them to stay ahead of the competition by quickly adapting to the changing market conditions. Product and marke ..read more
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