Navigate the complexities of data and information management in the digital age to enhance decision-making and optimize performance in a data-driven world.
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 »
Data
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 »
Data
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 »
Data
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 »
Data
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 »
Data
Level 1: Initiative or Domain Value Data Strategy: Siloed Siloed Data Maturity: An informal or non-formal approach to enterprise data management IT Builder: One of the primary challenges faced by IT builders is interacting with data that is restricted behind departmental boundaries. This may reduce visibility and have an impact on operational efficacy. Here, your
Data Maturity Assessment: Level 1 Read More »
Data
In various industries, a complex situation is surfacing where data is seen as a widespread issue, yet no one entity explicitly has ownership.
When Data is Nobody’s Responsibility Read More »
Data
Learn the key steps and best practices for scoping your data initiatives to ensure success. Discover how to align your data projects with business objectives, manage resources effectively, and overcome common challenges.
How to Plan Data Initiatives: A Comprehensive Guide Read More »
Data
In the modern business landscape, characterized by rapid change and uncertainty, the concept of “elasticity” emerges as a fundamental component for enduring success. Elasticity, in this context, refers to a company’s capacity to swiftly and effectively adapt to various market fluctuations, environmental shifts, and customers’ ever-changing needs. This agility is particularly critical for sales and
Business Elasticity through Data-Driven Strategies and AI Read More »
Data
As a sales and marketing leader in today’s fast-paced digital landscape, you’re constantly navigating the challenging waters of information gathering. This article addresses you directly, highlighting the contrast between the quick, ‘copy-paste shortcut’ approach and the deeper journey of root cause problem-solving. Understanding these methods and their implications is crucial for steering your team effectively
