Paradigm takes a consultative approach to Analytics and EIM.
Our experts will engage with your business to help you develop a strategic EIM and 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 EIM 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, encompassing information about your customers, prospects, suppliers, products or services, sites, assets, employees, and more. MDM serves to create a unified and holistic view of all your business’s information. In turn, this enables easy identification of the relationships between data, facilitates transaction tracking, and provides a 360-degree view of your customers. Learn more about our approach.
Data Quality & Integration
The quality of insights your analytics tools provide depends in large part on the quality of the data 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.
Big Data & Data Lakes
Analytics & Reporting
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 partners with your business to plan and implement a data analytics strategy that fits your particular goals and delivers the insights you need. We can also assist your business with other needs, including 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, 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. Learn more about our approach.
Product Information Management
Product Information Management (PIM) serves to build a well-defined, consistent, and accurate set of data tailored to meet the needs of current and future ecommerce trends by integrating, enriching, and channelizing product data from distinct systems. PIM provides a single, reliable, and trusted view of product data – this consistent and relevant content provides product data governance, workflow management, and a true omnichannel presence.
CMDM: California Financial Institution
- 77 years in business
- $10B+ in Assets
- 40 Locations in Southern California
- Business set aggressive...
Leading Biotechnology Company Gains High Performance Storage for Analytics and Big Data
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By Mohit "Mo" Sahgal
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Scottsdale, AZ - Paradigm Technology, a strategic consulting and digital transformation partner, announced today that Michael Stell has joined the Executive Team as the Chief Financial Officer. Mr. Stell is a leader with over 16 years of progressive experience in...