Category: 2-Tier

Wake Up and Smell the Coffee: IoT Data Creates New Opportunities for Marketers

article image

As I blogged about earlier this week, today’s “networked BI” platforms make it easier than ever to integrate data generated by the Internet of Things (IoT) into enterprise environments. Advanced 2-tier BI platforms plug into centrally managed data sources – data warehouses, data lakes, business applications, and big data – and seamlessly unify them with data generated by decentralized teams throughout the organization. Repositories collecting data from IoT devices are just another data source, although the fact that they are generally unstructured creates additional challenges in making these data sources analytic ready. After the data is refined and business rules are added, the combined data is ready to be used.

Read More


Winter is Coming for Legacy Business Intelligence Vendors

article image

HBO’s “Game of Thrones” is wildly popular for a lot of reasons: epic battles, dramatic vistas and, shall we say, intense relationships. But beyond riveting entertainment, the series offers a powerful allegory that is directly applicable to the Business Intelligence (BI) software industry: “winter is coming.”

Read More


Embrace Self-Service Without Chaos: Enabling a 2-Tier Analytics Strategy

article image

Business users are increasingly adopting self-service BI tools that enable them to work with data on their own, reducing and in some cases eliminating their dependence on a centralized IT function. Unfortunately, the proliferation of these tools within an organization can introduce governance problems, resulting in a greater risk of analytical silos and reporting chaos. IT leaders are being challenged by decentralized business teams to deliver speed, autonomy and ease of use, but they have struggled to meet these demands without compromising security, consistency and trust in the data.

Read More