Data Intelligence Services

Using data analytics to drive business decision-making and strategy is essential to gaining market share in 2020. IT teams must shift their focus to protecting and operationalizing centers of data, rather than data centers. How will you begin your data transformation?

What is Data Intelligence?

Data intelligence is the use of data to inform business operations, workforce, and strategy decisions. By combining the right data sets, tooling, people, and processes, you can create data sets and dashboards that inform business leaders with valuable information to drive business choices.

Data intelligence often leverages artificial intelligence and machine learning technology to increase to sophistication of data analysis.

The Data Maturity Model

The data maturity journey is different for every business organization. Leadership expectations, stakeholder requirements, and IT infrastructure will all impact the speed and priorities within your data intelligence strategy. Despite your specific use cases and expectations, we find most organizations map to one of these four maturity model stages:

1. Initial

   In the Initial stage, an organization is exploring data intelligence initiatives in an ad hoc, siloed manner. Projects and visualizations are often based in disparate spreasheets and/or tools, not compatible with each other. Governance is minimal and localized to specific initiatives.

2. Defined and Managed

   Businesses in the Defined and Managed stage are in the beginning stages of a formal data intelligence program. KPIs are improving, based on feedback from initial data projects. Some data sources may be moved from disparate spreadsheets and sources into a data warehouse. And predictive analysis capabilities may be possible for limited data sets.

3. Measured

   Measured-stage business have developed major KPIs. Most data sources are in the data warehouse, with automated and reliable data pipelines. Data visualizations have been standardized and are often self-service. Governance has defined processes and identified security groups.

4. Optimizing

   In the Optimizing stage, the business is realizing tremendous value from their data intelligence program. KPIs are defined organization-wide and used for measuring business success. Data pipelines are real-time, easy to manage and add. And predictive capabilities are showing real business value for projecting future performance and goals.

Where does your organization fall into this maturity model? Identifying your current-state is key to determining your next steps.

Burwood Group Services

Burwood helps, healthcare, financial services, higher education, manufacturing, and retail clients analyze massive data sets to create data visualizations and KPI reporting. Our data engineers build business analytics to bring clarity to your performance today, and predictive analytics to inform your growth strategy.

From initial assessment, to building a data warehouse, to creating business and predictive analytics models, our team can help you an any stage in your data maturity journey:

Getting Started: Data Intelligence Workshop

Don’t get overwhelmed with creating an end-to-end strategy on day one. Selecting one or two specific initiatives that would benefit from business analytics is an excellent starting point. We like to begin with a Data Intelligence Workshop. In this workshop, a Burwood Group Senior Data Architect will lead a deep-dive, technical workshop and discovery with you and your team covering the following scope:

• Discussion of short and long-term strategic goals

• Discuss how to measure success with KPIs

• Gain understanding of user and organizational expectations

• Discovery questions on your current environment

• Discover, analyze and understand your data

Contact Burwood today to schedule this complimentary workshop session for you and your team.