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A Complete Guide To Driving Digital Transformation In Marketing

datapine

For instance, when it comes to Human Resources, a digital transformation entails streamlining operations and digitizing personnel data. An accounting department may consider leveraging electronic contracts, data collecting, and reporting as a part of the digital transition. Interactivity-driven Social Marketing.

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. Data analysis and interpretation, in the end, help improve processes and identify problems. What is the keyword?

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Another important benefit to expect in the future of BI is instant access to important data, fast analysis, and easy-to-read presentations in charts and reports. Increase in ROI. The strategic decision-making in the future of business intelligence will be shaped by faster reports, deeper data insights, broader areas of data collection.

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9 Ways Location Data Can Help You Excel in Retail

Smart Data Collective

This information may be used to match a customer’s interests to the interaction your brand provides. Accurate client data collection and analysis are critical to maximizing all of these activities. This may include purchase history, customer habits, and other crucial data points.

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5 Reasons Why Big Data Is Essential for Successful Marketing

Smart Data Collective

The technological advancements have left no excuse for brands to justify the lack of customer data collection. This data, in return, enables them to carve out specialized marketing campaigns targeting the right audience. Now marketers can capture data at almost every stage of the buying decision.

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AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Big Data Hub

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

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Innovating the Insurance Customer Experience

Decision Management Solutions

One of the biggest challenges for insurance carriers is that unlike for example, a financial services company, most of a carrier’s customer interactions are limited to an initial policy purchase, handling a claim, and policy renewal. This process automation also improves the ROI on marketing programs.