Business Intelligence
We assess the state of Business Intelligence in your organisation, using the Gartner BI Maturity Model for reference. We then tailor a governance model and BI Roadmap to fit your requirements and business drivers.
Many BI operations are stuck with outdated approaches to BI software development, making them inflexible, unnecessarily expensive, and risky. Logic Circle Systemuses a Continuous Integration and Continuous Delivery (DevOps) approach for all development, treating Business Intelligence as first-class software. Automation, from source control through to testing and release, makes BI reliable and repeatable.
Agile Business Intelligence
Knowledge workers often don’t know what they want until they’ve seen it. Building on our expertise in agile software development, we use an example-driven requirements gathering process - Business Event Analysis and Modelling for star schemas (BEAM*) - to communicate effectively early in the process. This significantly reduces the time and effort involved in refining to the right solutions. We then complete development with a customer-focused, collaborative, and iterative process.
Logic Circle Systemhas experience with a wide variety of big data and integrated data warehouse technologies. We specialise in the Microsoft BI tools, both on premise and in the cloud.
Key Capabilities
- Translating information into measureable success factors and KPIs
- Business intelligence maturity and capability
- Integration of internal and external data sources, including social media data
- Analytical models and tools including executive dashboards and financial reporting
- Assessment of availability, quality and accessibility of data
Business Benefits
- Embed sustainable competitive advantages
- Identify and test new business opportunities before taking them to market
- Increase revenue through deeper understanding of your customers, their pain points and hows you can help them
- Improve overall market awareness and intelligence
- Unlock value within your business by spending more time analysing data rather than simply managing it
- Create a data driven culture that provides business outcomes based on evidence,