Insights Driven Business: 90-day Proof of Concept

Insights Driven Business: 90-day Proof of Concept

Discover how to put your data to work for you

Many companies have made extraordinary investments in data and analytics but struggle to see a direct impact on performance. Most focus first on integrating all their data, a massive undertaking, without connecting it to insights that build better brands, differentiated products, productive customer relationships and competitive growth.

Point B helps companies design and build information supply chains that work, using a strategy led, product-oriented approach to get more value out of their data. Point B's Insights Driven business model is built on Microsoft Azure and integrated into your unique interface be that Microsoft Teams, SharePoint or a 3rd party system and augmented by AI and automation with Copilot for Microsoft 365 and Copilot Studio to deliver value quickly and efficiently.

Our Approach In order to deliver the right value at the right time, Point B leads our customers through a four-phase process. Each also available a la carte.

Phase 1: Establish the Data Product Roadmap Anticipate better business data discovery and governance through Microsoft Fabric, Power BI, Microsoft 365 and Microsoft Purview

• Define business vision, key use cases and analytic building blocks • Determine critical data elements and analytic capabilities • Achieve alignment with key stakeholders

Phase 2: Define Solution Technology Blueprint Determine how to improve the data supply chain with Fabric and the full suite of Azure Data, Analytics, Machine Learning and AI capabilities

• Evaluate current state technology ecosystem • Determine data readiness and gaps • Recommend future state architecture for data integration, insights and AI

Phase 3: Build Implementation Plan for Continuous Delivery Define the product backlog, operating model, and enable continuous delivery through Azure DevOps

• Document the data product roadmap in Azure DevOps • Align on operating model and estimate people and technology costs
• Build plan for adoption and sustainment

Phase 4: Prototype a New Data Product Demonstrate a new data product using the Microsoft Intelligent Data Platform

• Identify targeted use case and data sources • Build data transformation and end-user analytic components • Illustrate how Azure enables a new experience for developers and end-users

Why Point B?

•           Building robust data and analytics solutions that can deliver actionable insights is challenging. Point B’s approach leverages our experience and best practices to achieve success. •           Business Driven •           Product Oriented Mindset •           Agile Delivery •           Sound Technology & Architecture •           Quality Data •           Operational Commitment