Building a high performing analytics program isn’t just about collecting data; in fact, many organizations feel that they have too much data, often spread across multiple data sources, departments, operational systems, and applications. If your data is chaotic and difficult to manage, no one will trust it, and worse yet, no one will USE it.
Your data and analytics should give you the insight you need to make complicated business decisions that will enable growth, increase sales, help you find more customers, and increase the speed of innovation.
Logic20/20 looks at all advanced analytics projects through the lens of your business. We work with you to find the problems you need to solve and the metrics you need to create a data-driven analytics model. Then we create a single source of truth for your data, implement the tools that are right for your business, and deliver consumable information that you can actually act on.
That’s clarity of data.
Information for the right people at the right time, with design thinking data analytics and reporting.
Elegant designed data storage with an eye towards access and security.
Assess business and technical needs and design models to get the right data to the right people and answer the right questions.
Integrate data into new and existing systems and processes.
Architecting master data management (MDM) to achieve the single version of truth.
Automated & predictive analytics models to support business growth
Transfer data from on-premises to cloud storage solutions
Customer and business insight with big data, advanced analytics, streaming analytics, & Internet of Things (IoT)
Explore what’s possible with data and get data-informed answers to business questions.
Cloud solutions to support enterprise level clients.
Predictive analytics used to reduce drop-out rates
Fundraising “pledge cards” and analytics
Increased insight with diversity reporting
Analytics and application development
ETL foundation & cube migration
Strategic Competitive Analysis
Improve customer experience and retention
Data informed decisions
Enterprise data warehouse