Remove Business Objectives Remove Management Remove Metrics Remove Strategy
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5 key metrics for IT success

CIO Business Intelligence

IT leaders are drowning in metrics, with many finding themselves up to their KPIs in a seemingly bottomless pool of measurement tools. There are several important metrics that can be used to achieve IT success, says Jonathan Nikols, senior vice president of global enterprise sales for the Americas at Verizon. Here they are.

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How to build a successful procurement strategy

IBM Big Data Hub

A procurement strategy allows an organization to navigate an increasingly complex global supply chain, adapt swiftly to market fluctuations, and achieve cost optimization, operational efficiency and growth. A procurement strategy is not merely a series of steps for acquiring goods and services. What is a procurement strategy?

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How to build a successful AI strategy

IBM Big Data Hub

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy? A successful AI strategy should act as a roadmap for this plan.

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10 hard truths of change management

CIO Business Intelligence

The days of one-off change management initiatives are over. Rather than tackle organizational change management with an end in mind, IT leaders and their organizations must now exist in an environment of persistent flux. . “In Execution eats strategy for breakfast,” Kocherlakota says. Low-performance organizations are up to 3.5

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How to build a successful talent acquisition strategy

IBM Big Data Hub

Talent acquisition refers to the ongoing strategy and process an organization and its HR department uses to source, attract, evaluate, hire and retain the highly-qualified new employees it needs to grow. A well-crafted talent acquisition strategy has become a critical component for organizations seeking to secure a competitive edge.

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How to Build a Data Quality Strategy to Get Executive Buy-In

Octopai

On business-critical questions like: Which product line should we invest in – or adjust – or market differently? Which sales strategies bring in the most customers, or the most loyal customers, or the highest revenue? Tie data quality directly to business objectives. Better data quality?

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Bringing an AI Product to Market

O'Reilly on Data

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

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