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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

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Get The Most Out Of Smart Business Intelligence Reporting

datapine

To put the business-boosting benefits of BI into perspective, we’ll explore the benefits of business intelligence reports, core BI characteristics, and the fundamental functions companies can leverage to get ahead of the competition while remaining on the top of their game in today’s increasingly competitive digital market.

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AI Product Management After Deployment

O'Reilly on Data

Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market. In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing.

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

datapine

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

IT 317
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SaaS Dashboard Examples For Modern Business Management Practices

datapine

Software as a service (SaaS) has blossomed in the last five years, and the public SaaS market is expected to grow to $76 billion by the year 2020, according to FinancesOnline. As mentioned, SaaS (software as a service) enterprises operate in an incredibly competitive market. 2) Vision. Customer Lifetime Value. SaaS KPIs explained.

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The steep cost of a poor data management strategy

CIO Business Intelligence

A few years ago, Gartner found that “organizations estimate the average cost of poor data quality at $12.8 million per year.’” Beyond lost revenue, data quality issues can also result in wasted resources and a damaged reputation. Data management’s ROI Customers often ask me how to “make the case” for data management.

Strategy 116
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What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

For that reason, businesses must think about the flow of data across multiple systems that fuel organizational decision-making. For example, the marketing department uses demographics and customer behavior to forecast sales. The CEO also makes decisions based on performance and growth statistics. Data Quality.