Buy-side firms are consistently faced with burgeoning volumes of data, necessitating adept management of expansive data extractions, a task fraught with intricacies and considerable costs. Arthur Orts ...

As organizations accelerate AI adoption and expand analytics capabilities, many still struggle to execute their data strategies due to unclear operating models, siloed decision-making, and ...

Many higher education institutions are migrating their data centers to a cloud operating model. It's a movement that has its roots over a decade ago. And while that may not be news, it's a growing ...

For decades, banks have wrestled with fragmented regulatory data by investing billions in lakes, warehouses and point solutions that promised control but delivered more silos. What financial ...

Management and technology consultancy BearingPoint has released a new research study, “Future-ready by design: Reinventing operating models for the AI era.” Based on a survey of nearly 400 C-level ...

Traditional business models with siloed functions struggle to keep pace with changing markets and customer needs due to slow response and fragmented technology. To stay competitive and deliver greater ...

If you’ve been around long enough to see a few CRM projects come and go, then you have probably noticed a pattern. Technology changes, the logos change, and the dashboards look shinier every few years ...

Only 4% of organizations have fully aligned operating models to support their strategic goals. AI is now the strongest driver of operating model redesign, cited by nearly 70% of executives.