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Protecting Customers and Your Business with Ethical Data Management

Dataversity

Many companies have been criticized in recent years for mismanaging data. For example, a major social media conglomerate recently came under fire for reports that user data was accessible to employees, leading lawmakers to call for an investigation by the F.T.C.

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How Automation Streamlines Data Management

Smart Data Collective

Managing data is a challenge. It’s not hard to collect data, but most companies collect data in disparate locations and across multiple applications that don’t talk to each other. With this model, multiple reports are required to crunch data from multiple sources.

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Steps Companies Should Take to Come Up Data Management Processes

Smart Data Collective

Data is becoming more important to modern organizations than ever before. One poll found that 74% of companies feel they are still struggling to use data effectively. One of the problems is that they don’t manage their data well.

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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. Big data analytics can also help you identify trends in your industry and predict future sales.

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

In 2019, DiscoverOrg commissioned Forrester Consulting to evaluate sales and marketing intelligence practices in the B2B space. The primary takeaway? Forrester found only 1.2% of companies achieved a score indicating maturity in data management practices. However, organizations are fighting back - and winning.

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Data Management Is Dead – Data Empowerment Has Emerged

Dataversity

In my last DATAVERSITY article, “The Machine Economy Is Here – The Digital Transformation Era Is Over,” I discussed the end of digital transformation, the arrival of the machine economy, and the emergence of data empowerment.

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Unstructured Data Management Predictions for 2023

Dataversity

The post Unstructured Data Management Predictions for 2023 appeared first on DATAVERSITY. The global economic outlook for 2023 is tepid at best; inflation is waning but threats of recession still loom heavy in many countries.

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Choosing Between Outsourced Vs In-House Data Management Strategies

Smart Data Collective

There is no question that data has become a valuable asset to almost every organization. Companies use big data to optimize their marketing strategies, maintain better relationships with their customers, manage their financial strategies and improve human resources capabilities.

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Master Data Management on Cloud Journey

Dataversity

If you are responsible for Master Data Management (MDM) in your company, you are likely considering moving or implementing MDM on the cloud. The post Master Data Management on Cloud Journey appeared first on DATAVERSITY. Click to learn more about co-author Kelvin Looi.

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The 12 Days of Data Management

Dataversity

The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The post The 12 Days of Data Management appeared first on DATAVERSITY. Click to learn more about author Scott Taylor.

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Best Practices for a Marketing Database Cleanse

As frustrating as contact and account data management can be, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information. Entrusting a vendor to help maintain its accuracy and completeness is no ordinary engagement. Download ZoomInfo’s latest data-driven eBook aimed to help marketing leaders understand the best practices around choosing a B2B contact data provider.

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Top 5 Trends for Data Management in 2023

Dataversity

Despite ongoing economic uncertainty, we know that 2023 will require us to do more with the data we have, protect it better, and find new ways to uncover insights through improved Data Management. The post Top 5 Trends for Data Management in 2023 appeared first on DATAVERSITY.

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16 Internal Data Management Best Practices

Dataversity

In today’s digital world, data is undoubtedly a valuable resource that has the power to transform businesses and industries. As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively.

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Cloud Data Management Challenges and Best Practices

Dataversity

Data sources are increasing at an accelerating pace, and so is the volume of data. In 2021, it was reported that 79 zettabytes of data were generated across the globe. The post Cloud Data Management Challenges and Best Practices appeared first on DATAVERSITY.

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The Future of Data Management: Five Predictions for 2022

Dataversity

As many have said, data is everything and everything is data. And the fact remains that the highest-value data sits in transactional databases behind applications like ERP, CRM, etc. The post The Future of Data Management: Five Predictions for 2022 appeared first on DATAVERSITY.

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How ZoomInfo Enhances Your Database Management Strategy

Forward-thinking marketing organizations have continuously invested in a database strategy for enabling marketing processes. Download this ebook to learn how to maintain a strategy that includes refreshed information, database cleanses, and an accurate analysis at the same time.

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Administering Data Fabric to Overcome Data Management Challenges.

Smart Data Collective

In such an era, data provides a competitive edge for businesses to stay at the forefront in their respective fields. With the increased adoption of cloud and emerging technologies like the Internet of Things, data is no longer confined to the boundaries of organizations.

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Th(re)e Things that Make Compliant Data Management Strategies

Dataversity

Data Management has been changing tremendously. Each year, the volume of data we need to manage goes rapidly up, as does the number of sources where this data is generated. Click to learn more about author Stefan Vucicevic.

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B2B Customer Data Management

The Data Administration Newsletter

Data is the new oil. As customer data becomes increasingly important to your success, you need to manage it well. As a business, your most valuable asset is customer data. Data can be used to identify […]. It’s cheaper, more plentiful, and just as valuable.

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Why Effective Data Management Is Key in a Connected World

Dataversity

The smart factory and plant now incorporate an array of connected technologies, all generating a vast volume of data. As a result, data will continue its exponential growth, […]. The post Why Effective Data Management Is Key in a Connected World appeared first on DATAVERSITY.

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

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. 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. This latest eBook aims to help marketing leaders understand the impact of data management on their company’s ROI.

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Data Management and Healthcare Data

Dataversity

Accurate and complete data is an indispensable tool for healthcare professionals and patients alike, and it is an essential part of the medical profession. The post Data Management and Healthcare Data appeared first on DATAVERSITY.

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Comparing DynamoDB and MongoDB for Big Data Management

Smart Data Collective

A growing number of companies are discovering the benefits of investing in big data technology. Companies around the world spent over $160 billion on big data technology last year and that figure is projected to grow 11% a year for the foreseeable future.

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The Evolution of Data Virtualization: From Data Integration to Data Management

Dataversity

Data virtualization was first introduced two decades ago. Since then, the technology has evolved considerably, and the data virtualization of yesterday bears little resemblance to the data virtualization of today.

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How Can Unifying Data Fabric and Data Management Help Enterprises?

Dataversity

Today, one of the most cutting-edge technologies is data fabric. Data fabric and data management can significantly improve business functions by connecting siloed data and making it accessible across divisions and workgroups.

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Differences Between Data Management and Data Governance

The Data Administration Newsletter

A common misconception among c-level executives is that governance and management of data is the same thing other than in capital letters. Below, we will explore the main differences between Data Management […].

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3 Data Management Questions to Ask Before Choosing a Cloud-Based Vendor

Dataversity

In 2022, ensuring best-in-class Data Management is anything but straightforward for CIOs and IT leaders. The post 3 Data Management Questions to Ask Before Choosing a Cloud-Based Vendor appeared first on DATAVERSITY.

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Top Use Cases for Data Management Automation

Dataversity

Nowadays, we are surrounded by data: We produce a lot of personal data and work with a significant amount of data. When it comes to the business environment, data is crucial for effective decision-making, which makes it a highly valuable resource.

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Why Does Multi Domain Master Data Management Matter?

The Data Administration Newsletter

The global master data management (MDM) market is estimated to grow from USD 1.6 Traditional MDM systems are purpose-built for a single type of data or domain. billion in 2019 to USD 3.4

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Building a Grassroots Data Management and Data Governance Program

Dataversity

Many in enterprise Data Management know the challenges that rapid business growth can present. The post Building a Grassroots Data Management and Data Governance Program appeared first on DATAVERSITY. Click to learn more about author Jenny Hyun.

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Data Management Enables eCommerce Success

The Data Administration Newsletter

Using reliable insights to keep up with rapid market changes, businesses are also deploying data mining and predictive analytics across massive amounts of clickstream and transactional data.

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Increasing the Business Impact of Data Management Using Force-Field Analysis

Dataversity

This article introduces Force-Field Analysis (FFA) [1], a tool that one of us (Tom) has used for many years to help understand and summarize the impacts of multiple factors in the data space. Click to learn more about co-author John Ladley. Click to learn more about co-author Thomas Redman.

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The Best Data Management Tools For Small Businesses

Smart Data Collective

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Solutions for the various data management processes need to be carefully considered. What is data management?

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Why You Should Adopt a Vendor-Neutral Data Management Approach

Dataversity

The post Why You Should Adopt a Vendor-Neutral Data Management Approach appeared first on DATAVERSITY.

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How is the ‘Mesh’ Resolving Bottlenecks of Data Management

Smart Data Collective

If you are stuck with dumping data into warehouses and lakes then you are most likely not prepared for what’s coming up next. This era is changing data as we know it. Data Mesh which is the latest addition to the stack is saving data teams from the hassle of producing qualitative data for all business types. More case studies are added every day and give a clear hint – data analytics are all set to change, again! . Data Management before the ‘Mesh’.

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Why Adopting the Right Unstructured Data Management Strategy Is Critical

Dataversity

The post Why Adopting the Right Unstructured Data Management Strategy Is Critical appeared first on DATAVERSITY. While many sectors have been under severe economic pressure in the past couple of years, the post-pandemic economy is offering significant opportunities for growth.

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Three Reasons to Take a More Holistic Approach to Data Management

Dataversity

Taking a holistic approach to data requires considering the entire data lifecycle – from gathering, integrating, and organizing data to analyzing and maintaining it. Companies must create a standard for their data that fits their business needs and processes.