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We help our clients derive value from data through analytics and technology. Whether that be via implementing advanced AI or working to implement basic data processes to get to a “single source of truth”, we understand each client journey is unique.
What we do
We work to create and implement the right strategies and solutions to ensure our clients become insight-driven organizations.
We work with you to deliver a vision of both the short- and long-term strategies required to maximize the value out of your data and analytics capabilities across the firm.
We know the immense power of the insights that come from using data and ensure that you also have all the tools you need to ensure that value is not only protected … but rapidly grows.
Data-driven strategies
Deploying data-driven strategies that optimize operational and micro decisions is key to competing in today’s marketplace.
Advanced analytics solutions use machine learning and statistical methods to help organizations mine their data, deliver better insights and improve existing processes.
Companies are investing in advanced analytic solutions to help them not only make the best decisions faster and more consistently, but also to improve operational efficiency and performance. Of all the business analytics available, advanced analytic solutions should be at the top of your priority list given the impact it can have on your business.
At Baker Tilly we believe that the key to success for advanced analytics projects is to focus on the decisions that need to be made to improve your top areas of concern. Decisions such as – which customers to mail to, which parts of a product to service or which transactions are fraudulent.
If you have a decision or process that can be improved and you have enough data around that decision, our advanced analytics services can enable better decisions, improve performance and create value.
We have the business process experience and understanding of the advanced analytic tool sets in the following areas:
- Customer analytics: personalization, churn, segmentation, engagement, loyalty, spend
- Healthcare: readmission analysis, call center analytics, member response modeling
- Manufacturing: predictive maintenance, leading indicators, sales forecasting
- Insurance: reinsurance analytics, claim note text analytics
- Resource management: analytical staff forecasting
How we can help
We work to create and implement the right strategies and solutions to ensure our clients become insight driven organizations by delivering:
- D.ata and analytics strategy and roadmaps: Develop roadmap for transforming the analytics capabilities of the organization to enable key business insights and outcomes
- MDM and data process reengineering: Develop guidelines as to how to treat data as a strategic asset
- AI strategy: Identify, assess and prioritize an initial set of AI use cases and design a corresponding full-cycle AI service delivery model including a variety of AI micro-services
- Data visualization and design thinking: Design and implementation of user friendly dashboards that provide clear and concise insights from data leveraging industry leading analytics solutions.
- Analytics foundry: Prototype and build proof pilots to support specific disruptive data and analytics use-cases occurring across sectors and domains
Our analytics solutions can help your organization at any maturity level, giving your organization insight into what's happening to why it happening to when it will happen.
Creating value by managing and leveraging your data
The maturity model of data analytics shows how a company can effectively use its data over time, adopting more sophisticated analytics to drive significant business decisions, moving from mere data collection to business intelligence to advanced analytics. The maturity model is a progression – and all companies need to acknowledge this and start where they can to begin the advancement of their maturity in the use of data. At each level of this maturity model, there are a number of data analytics tools that a manufacturer – or its business advisors – can use.
The data-driven organization framework
Transforming an organization to be data driven goes far beyond the analytical models and technologies required to run them.
Baker Tilly leverages the data-driven organization (DDO) framework to organize our strategic thinking around 5 key aspects critical to an organization’s digital transformation success.
- Vision and strategy: All aspects related to the overall analytics/data vision of the company and its desired future state
- Data: Anything related to data, including but not limited to, its management collection, use, storage, transformation, processing and availability
- Technology: Areas of technology related to turning data into analytics insights (cloud, tools, coding platforms, visualization, etc.)
- People: All areas related to people (skills/roles) and organizational design (when to hire, how to structure analytics teams)
- Process and governance: All rules that govern the use and distribution of data and all processes that manage your digital assets
