Navigate the complexities of data and information management in the digital age to enhance decision-making and optimize performance in a data-driven world.
Enabling AI Initiatives with Data Integrity and Governance In a digital-first world, data is the bedrock of every strategic move. Yet many organizations need help leveraging their data fully due to a pervasive issue: data drag. This hidden barrier hampers AI initiatives, innovation, and decision-making. To overcome this, organizations must prioritize key principles of data […]
Breaking Free from Data Drag Read More »
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This tool provides a methodology for evaluating an organization’s current data management capabilities and lists specific steps that may be performed to increase data maturity.
Tool: Assessing the Maturity of Your Data Strategy Read More »
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Create a culture where data is consistently trusted and consulted. By integrating AI technology and advanced analytics into everyday activities, you may help establish an organizational-wide mindset that views data as a crucial resource for decision-making at all levels.
Data Maturity Assessment – Level 6 Read More »
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Developing Your Data Strategy: A CIO Call to Action Data is a crucial resource for fostering innovation and maintaining a competitive edge. To fully unlock its potential, more than technological advancements are required. A shift in organizational attitude and perspective is imperative. This guide not only offers ideas for transitioning from working in data silos
Developing an Enterprise Data Strategy Read More »
Data
Create a culture where data is consistently trusted and consulted. By integrating AI technology and advanced analytics into everyday activities, you may help establish an organizational-wide mindset that views data as a crucial resource for decision-making at all levels.
Data Maturity Assessment – Level 5 Read More »
Data
Critical data principles influence every part of the organization to effectively use data in accordance with its primary strategies, ultimately protecting the interests of its customers and improving performance.
Five Data Principles to Lead By Read More »
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Level 4 – Business Process Improvement Data Strategy Goal: GovernData Maturity: Repeatable and Managed approach to enterprise data management IT Builder: The focus on data governance at Level 4 marks a significant shift in the evolution of data management inside enterprises. IT builders are accountable for putting in place robust data management policies and processes
Data Maturity Assessment – Level 4 Read More »
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Level 3 – Shared Service Value Optimization Data Strategy Goal: Adjust Data Maturity: Approach to enterprise data management Defined and implemented IT Builder: At Level 3, businesses actively use data to inform choices rather than just having it on hand. IT developers play a significant role in enabling the deployment of AI technologies that handle
Data Maturity Assessment – Level 3 Read More »
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Data plays a crucial role in ensuring fair recognition and rewards for achievements. Embracing this approach creates a culture of fairness, motivating employees by acknowledging and validating their contributions based on concrete data.
It’s Time for Data-Driven Recognition Read More »
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Level 2 – Strategy for Value Delivery Data Strategy Goal: Activate Data Maturity: Developing an approach to enterprise data management IT Builder: As organizations get increasingly data-aware, IT Builders play a critical role in integrating cutting-edge technologies like artificial intelligence into the organizational structure at Level 2. You must develop AI-powered solutions that enhance decision-making
Data Maturity Assessment: Level 2 Read More »
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