Resource library

How to leverage predictive analytics to make better decisions 

The blog outlines a three-step roadmap for businesses to unlock the power of predictive analytics and gain a competitive edge. First, it emphasizes the importance of gathering and preparing a diverse dataset—such as sales history, customer interactions, and external market data—to ensure reliable forecasting. Second, it explains how AI and machine learning tools can transform that data into actionable insights for demand forecasting, personalized marketing, dynamic pricing, and supply chain optimization. Third, it recommends implementing industry-specific use cases, like inventory prediction in retail, churn models in SaaS, and risk scoring in finance, to drive tangible business outcomes.

How Enterprise Architects can get more support for technology led innovation  

Enterprise Architects are increasingly vital as guides for technology-led innovation, but they often struggle with obstacles like siloed teams, misaligned priorities, outdated governance, and unclear strategic value. The blog outlines six core challenges—stakeholder engagement, tool selection, IT-business integration, security compliance, operational balance, and sustaining innovation—and offers a proactive roadmap: embrace a “fail fast, learn fast” mindset; align product roadmaps with enterprise architecture; build shared, modular platforms; and adopt agile governance supported by orchestration tooling.

Webinar: Assembling data products, the Lego way: fast, creative, and efficient

In this session, we’ll explore how applying platform thinking and a modular approach — inspired by the Lego way — can help organizations assemble data products faster, more creatively, and with greater efficiency.

August 26, 2025

How to leverage AI to create personalized customer experiences and transform business functions

There is no arguing that AI technology has been a game-changer for all business functions.   Automation can handle repetitive tasks, such as reminders and basic updates, freeing business managers and leaders to focus on high-value interactions that require empathy and strategic thinking.

Becoming customer-first: how smart data drives loyalty 

Being customer first in the digital and data age means placing the customer at the heart of every business decision, strategy, and process. It involves understanding and anticipating customer needs, preferences, and behaviors using data-driven insights and leveraging digital tools to enhance the customer journey.   Modern customer-centric businesses actively seek feedback and engage with customers across multiple channels to cultivate strong, personalized relationships.

Transforming with data: how to build a digital-first enterprise in 2025 

Digital transformation in 2025 hinges on data—particularly real-time, AI-powered insights that drive automation, personalization, and smarter operations. As nearly two-thirds of business leaders prioritize digital transformation, leveraging data across structured, unstructured, and real-time sources allows companies to anticipate customer needs, optimize spending, and fuel innovation.