How to unlock the full value of data? Manage it like a product

“Creating reusable data products and patterns for piecing together data technologies enables companies to derive value from data today and tomorrow.” In the article “How to Unlock the Full Value of Data: Manage it Like a Product,” McKinsey & Company’s QuantumBlack division discusses the importance of treating data as a strategic asset and managing it […]

“Creating reusable data products and patterns for piecing together data technologies enables companies to derive value from data today and tomorrow.”

In the article “How to Unlock the Full Value of Data: Manage it Like a Product,” McKinsey & Company’s QuantumBlack division discusses the importance of treating data as a strategic asset and managing it in a way that maximizes its value.

According to the article, many companies fail to fully realize the potential value of their data because they do not have a systematic approach to managing it. To unlock the full value of data, the authors recommend treating it like a product and applying the same principles of product management to its development and deployment.

This includes establishing a clear vision for the data product, setting measurable goals, and regularly tracking and analysing its performance. It also involves creating a data culture within the organization, in which data is seen as a valuable resource and is used to inform decision-making at all levels.

The article goes on to provide practical steps for implementing a data product management approach, such as building a data governance framework, investing in the right tools and technologies, and establishing strong partnerships with external data providers.

The article offers valuable insights for any company looking to maximize the value of its data and drive business success. I highly recommend giving it a read.

Read the full article at McKinsey.com here

Oxford: How Professional Services firms use automation to become agile

Oxford: How Professional Services firms use automation to become agile

As professional services firms grow, agility becomes harder to maintain. Talent constraints, disconnected systems, and manual processes can slow everything down. 📊

The analyst report, “Oxford: How Professional Services firms use automation to become agile,” explores how automation, cloud ERP, and AI help firms plan resources better and deliver services more efficiently.

Download the report to learn how your peers are adapting.

Creating a new  era of finance  intelligence

Creating a new era of finance intelligence

Are rising expectations putting new pressure on your finance team? 📊

This infographic highlights how data and AI bring structure, governance, and real-time visibility to financial information.

Take a look to see what a more intelligent finance function can enable. 🤖

Enable Risk-Resilient and Sustainable Warehouse Management

Enable Risk-Resilient and Sustainable Warehouse Management

Limited visibility and manual processes can slow fulfillment and increase risk across your warehouse. 📊

This solution brief shows how automation, real-time insights, and integrated processes improve efficiency and accuracy. Download it to see how you can build a more resilient and scalable warehouse operation. #SupplyChain

SAP S/4HANA Cloud Market Report – Finance

SAP S/4HANA Cloud Market Report – Finance

Choosing an ERP platform is a long-term commitment, and assumptions can be costly. 📊

The TrustRadius analyst report shows how SAP S/4HANA Cloud performs in real customer environments, outperforming the ERP category in satisfaction, value, and feature quality.

Download the report to see why customers rate SAP S/4HANA Cloud higher than Microsoft and Oracle NetSuite ERP, then message us to discuss what this means for your growth plans. #ERP #SAPCloud

SAP Business AI for Professional Services

Generic AI can miss the mark in professional services. What matters is AI that understands your data and your processes. 🤖

In the video, “SAP Business AI for Professional Services,” you see how AI embedded directly into core workflows helps automate service delivery, optimize resources, improve forecasting and margins, and support more personalized client experiences.

Watch the video to see what meaningful, responsible AI looks like in action.