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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

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3 tips for successful customer data management

NICE inContact

Customer data governance is important for ensuring data is useful, standardized, and safeguarded. And to get maximum value from that data, businesses should implement initiatives that use customer data to know their customers better, improve CX, and enhance the customer journey.

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The Future of Customer Relationship Management: Building a Composable Customer Data Architecture

SAP Customer Experience

Consumer businesses strive to manage and leverage customer data effectively for a competitive edge. These organizations often have vast quantities of customer data. Their databases can grow to tens or hundreds of millions of customer records. This is not only in number but also in the depth of information per.

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10 Tips for Customer Data Management Success

CSM Magazine

The process of customer data management includes gathering, storing, arranging, and analyzing customer data with the aim of comprehending their behavior, preferences, and requirements. However, managing customer data can be daunting, especially for small businesses with limited resources.

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The 2023 Customer Experience Management Value Index

Verint is named an Exemplary Leader in the 2023 Customer Experience Management Value Index by Ventana Research. Building a successful CX program requires teams to share data seamlessly across multiple functions, including support services, contact center, marketing, and sales.

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Workforce Management (WFM) – Using Historical Data for Contact Center Forecasting

NICE inContact

Forecasting is a critical component of a call center’s workforce management program. However, one critical component is the accuracy and reliability of the historical contact volume data from which your forecast is generated. Why does historical data matter? What if I don’t have historical data?

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Workforce Management (WFM) – Using Historical Data for Contact Center Forecasting

NICE inContact

Forecasting is a critical component of a call center’s workforce management program. However, one critical component is the accuracy and reliability of the historical contact volume data from which your forecast is generated. Why does historical data matter? What if I don’t have historical data?

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

Fact: Only 8% of sales and marketing professionals say their data is between 91% - 100% accurate. of companies achieved a score indicating maturity in data management practices in the space.". B2B organizations struggle with bad data. The primary takeaway? Forrester found “only 1.2%

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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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How ZoomInfo Enhances Your ABM Strategy

For marketing teams to develop a successful account-based marketing strategy, they need to ensure good data is housed within its Customer Relationship Management (CRM) software. More specifically, updated data can help organizations outline key accounts for their campaigns.

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Pressure Points: How to Ensure Your B2B Pipeline Passes Inspection

This eBook highlights best practices for developing a pipeline management process that helps sales leaders and their team C.L.O.S.E you’ll see what we mean in this eBook) more revenue through data-driven prospecting, stage analysis, and subsequent sales enablement.

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4 AI Hacks to Make Sales Teams More Efficient

For sales teams, AI opens up a world of new possibilities, including automating outreach, identifying best-fit buyers, and keeping CRMs flush with fresh data. Simplify account-health management. Stream the freshest data. Automate personalized outreach. Download the eBook today!

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2020 Database Strategies and Contact Acquisition Survey Report

47% of marketers said they have a database management strategy in place, but there is room for significant improvement. As buyer expectations to receive this type of relevant engagement continues to heighten, database management strategies are of high importance. New tactics to acquire data to reach marketing goals.

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Solving the Biggest Tech Challenges in RevOps

In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data.