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How Automation Streamlines Data Management

Smart Data Collective

Today’s businesses rely on automated processes to stay competitive and for good reason – automation is a game-changer for data management. Automated data management simplifies operations. Cloud data management is essential for automation. While manual methods worked in the past, it’s no longer sufficient.

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From Challenges to Triumph: WaterWipes’ Data Management Revolution with Maextro

Timo Elliott

One of the sessions I sat in at UKISUG Connect 2024 covered a real-world example of data management using a solution from Bluestonex Consulting , based on the SAP Business Technology Platform (SAP BTP). Introducing Maextro: The Solution Enter Maextro, an SAP-certified data management and governance solution developed by Bluestonex.

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Steps Companies Should Take to Come Up Data Management Processes

Smart Data Collective

The process of managing data can be quite daunting and complicated. Data management is a set of processes and policies that organizations use to collect, store and share data. It involves understanding how the organization uses data and how the data is stored, and then working out what to do with it.

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Crucial Advantages of Investing in Big Data Management Solutions

Smart Data Collective

quintillion bytes of data are generated each day? Businesses are having a difficult time managing this growing array of data, so they need new data management tools. Data management is a growing field, and it’s essential for any business to have a data management solution in place.

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How ZoomInfo Enhances Your Database Management Strategy

It's quite a process for marketing teams to develop a long-term data management strategy. It involves finding a data management provider that can append contacts with correct information — in real-time. Not just that, but also ongoing data hygiene efforts to keep the incoming (and existing) information fresh.

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Choosing Between Outsourced Vs In-House Data Management Strategies

Smart Data Collective

While outsourcing your data management strategy isn’t always the best solution, it does confer a number of unique advantages – and can be both cheaper and more flexible for businesses on certain scales. What is the difference between an in-house and outsourced data management strategy? Disadvantages of in-house IT.

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Administering Data Fabric to Overcome Data Management Challenges.

Smart Data Collective

The ability of the organizations to manually extract the most out of their data results in being highly time and resource-consuming. . Advantages of data fabrication for data management. Data quality and governance. Best Data Fabric Tools for Enterprises – Tried and Tested.

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Forrester Research Report: How Sales and Marketing Intelligence Drive Improved Business Outcomes

of companies achieved a score indicating maturity in data management practices in the space.". Check out this latest report to gain insight into best practices (and benefits) for B2B data management including how: Automating tasks and improving data quality would increase sales staff satisfaction and productivity.

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.

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Why B2B Contact and Account Data Management Is Critical to Your ROI

Given data’s direct impact on marketing campaigns, reporting, and sales follow-up, maintaining an accurate and consistent database is a top priority for B2B organizations. Download this eBook and gain an understanding of the impact of data management on your company’s ROI. How data impacts your organization as a whole.