Check out my latest thoughts on the Digital landscape to stay ahead in the rapidly evolving tech environment, ensuring your organization remains competitive and innovative.
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
Generative AI enhances search capabilities, resulting in streamlined, effective, and efficient business processes. Sales teams can shift their focus from tedious paperwork to strategic planning.
A Guide to Generative AI Read More »
Strategy
Implementing effective strategies involves fostering cross-functional collaboration, dedicating resources to innovation initiatives, and securing leadership endorsement.
Innovation: Survive or Thrive? Read More »
Culture
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
Struggling to Unlock the Full Potential of AI? Instead of propelling companies forward, the deluge of data inside most organizations often holds them back, a phenomenon known as Data Drag. This term, introduced in my new book The AI Lead, refers to the inefficiency caused by poorly managed, outdated, or overwhelming amounts of data that
Data Drag: The 1 Hidden Problem Holding AI Back Read More »
Process
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
This article explores how effective leadership creates an environment where taking calculated risks is not only accepted but also essential for driving innovation.
Transformational Leadership Read More »
LeadershipWe all use data segmentation as a strategy to simplify cognitive processing and retention. It involves segmenting information into categorical “chunks” to navigate constraints.
This Magic Number is Holding You Back Read More »
Organization