Remove resources sales-team-management-strategies
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How to build a successful product development strategy

IBM Big Data Hub

A finely tuned product development strategy is a holistic, cross-collaborative endeavor with the capacity to help any organization weather unforeseen events or market changes. Why is a strong product development strategy important? Consumers have access to more information than ever to compare products and brands.

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Business process reengineering (BPR) examples

IBM Big Data Hub

The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization. This blog outlines some BPR examples that benefit from a BPM methodology. Successful implementation of BPR requires strong leadership, effective change management and a commitment to continuous improvement.

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What is Integrated Business Planning (IBP)?

IBM Big Data Hub

A retail company experiences a sudden surge in online sales due to a viral social media campaign. By having real-time data at their fingertips, decision-makers can adjust their strategies, allocate resources accordingly, and capitalize on the unexpected spike in demand, ensuring customer satisfaction while maximizing revenue.

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Data is essential: Building an effective generative AI marketing strategy

IBM Big Data Hub

Generative AI is powering a new world of creative, customized communications, allowing marketing teams to deliver greater personalization at scale and meet today’s high customer expectations. Enterprise marketing teams stand to benefit greatly from generative AI, yet introduction of this capability will require new skills and processes.

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Why data privacy requires a cross-functional approach

Collibra

In our last blog, we discussed the importance of data governance when building an effective data privacy and compliance program. Now we’re moving a little bit deeper into how your data team can collaborate with others to implement a privacy strategy. IT: Manages the flow of data across internal and external systems.

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Generative AI use cases for the enterprise

IBM Big Data Hub

The process demands high-level skills and resources, but the results are more likely to be compliant, custom-tailored and business-specific. The best option for an enterprise organization depends on its specific needs, resources and technical capabilities. Teamwork: Assemble a team with expertise in AI, data science and your industry.

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Customer experience examples that drive value

IBM Big Data Hub

Organizations that provide an excellent customer experience (CX) can improve sales revenues by 2 to 7 percent and profitability by 1 to 2 percent, according to McKinsey. Focusing on good CX can increase customer satisfaction and drive more meaningful customer interactions, ultimately increasing sales and customer retention.