DATA & ANALYTICS
Businesses and their customers are generating more data, in more forms, from more sources, than any other time in history. At the same time, analytics have evolved to encompass descriptive, predictive, and prescriptive capabilities. As a result, both the volume and the value of a business’s data are exponentially increasing, and the disciplines that comprise Enterprise Information Management (EIM) have become vital to a business’s success.
Paradigm takes a consultative approach to Analytics.
Our experts will engage with your business to help you develop a strategic analytics plan tailored to your business needs. We will also help you implement the solution that best fits your particular goals. In combination, the correct tools and processes will allow you to see the big picture and get the highest value from your data.
Master Data Management
Master data management (MDM) spans every area of your business, building a unified, well-defined, consistent, and accurate set of data on your customers, prospects, suppliers, sites, assets, employees, product information (PIM), and more. In turn, this enables easy identification of the relationships between data, facilitates transaction tracking, and provides a trusted, 360-degree view of your customers, products, and more.
The rise of technologies such as social media platforms and Internet of Things (IOT) devices is driving unprecedented growth in the volume of data we are generating. The ability to successfully manage and mine big data is becoming a key differentiator among successful enterprises. Paradigm has the strategic vision and hands-on expertise to help you master big data challenges.
Advanced Analytics | Visualization | AI/ML
The key to increasing the monetization of your business’s valuable data is analytics and reporting. Paradigm uses advanced analytics solutions to examine your data for insights that streamline business processes, improve the customer experience, empower your employees, and unleash innovation that drives both sales and growth. Paradigm plans and implements a data analytics strategy that fits your particular goals and delivers the insights you need. We can also assist with cloud application deployment and project leadership consulting.
Poor data management weakens an organization’s ability to conduct business, effectively manage customers, deliver timely products and services, and grow profitably. With constant regulatory presence (GDPR, CCPA, KYC, etc.), market unpredictability, insatiable internal demand for answers to increasingly complex questions, and shareholder demand for better returns and greater traceability to financial results, organizations need better data stewardship. That is why data governance is important – it is about establishing the right data management disciplines to address business challenges, mitigate risk, and ensure that a company’s data stays available, usable, trusted, and secure.
The quality of insights your analytics tools provide depends in large part on the quality of the data that you feed into the tools. Paradigm data quality (DQ) solutions ensure that your data is accurate, consistent, and complete. Moreover, we allow you to specify the requirements for your data quality and evolve them over time, as your business needs change. These stringent data quality measures provide you with a level of confidence in meeting regulatory compliance requirements.
Regulatory Reporting for Leading Electric & Gas Company
Established data quality framework and governance for gas leak data, reducing manual data management effort by 40% for $1M+ savings.
Customer Experience Personalization for Global Leader in Lawn Care
Optimized the consumer digital experience through 20M+ record consolidation, establishing a golden record.
Modern Data Platform for Niche Retail Banking Company
Enabled self-service analytics through an end-to-end modernized data platform, eliminating reporting backlog queue of 2 years.
Supply Chain Analytics & Data Quality for Leader in Home & Security Solutions
Enabled decision-making and reduced financial exposure from inaccurate customer data and decreased customer satisfaction.
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