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Category Archives: Data Quality

Why your CRM is crying for help!

By Joel Nicholson, Marketsoft The Challenges… Have you ever been initially sold that the new CRM will be “the” solution for our targeted campaigns moving forward? Are you looking to automate customer segmentation from data that only resides in the CRM? Do you have good visibility of exactly what data is in your CRM and

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Why isn’t direct response thinking working in digital channels

By Joel Nicholson, Marketsoft The challenges… How is customer acquisition via digital channels performing in your organisation? Are there some channels such as SEO and key word advertising that are driving consistent leads, yet other channels such as retargeting banner ads achieving very little? With the proliferation of digital channels to hundreds of options, are

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What is Bad Data and its Side-Effects?

By Mahak Vasudev, Business 2 Community Information and data are the most strategic assets of an organization. The Data Warehousing Institute reports, “Intellectual capital and know-how are more important assets than physical infrastructure and equipment.” It is critical to harness business data for effectual decision-making, and this blog series will walk you through the savvies

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4 Steps to Tackle Data Quality and Velocity Issues

By Scott Vaughan, Business 2 Community Let’s face facts—marketers have become complacent with poor-quality prospect and customer data. According to a SiriusDecisions study, 25% of the average B2B marketer’s database is inaccurate and 60% of companies have an overall data health that’s “unreliable”. Because it’s the norm, we’ve created many manual workarounds as temporary fixes

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U.S. organizations say a third of their data is bad

GCN Agencies are relying on data aggregation and analytics to enhance citizen services and understand social, scientific and financial trends.  Given the meteoric rise in the uses of data aggregation, as well as a growing reliance on its methods, data accuracy is paramount. Many organizations struggle with data inaccuracy, despite having an established data quality

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