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, 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.

Big Data & Data Lakes

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.

Data Governance

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.

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 e-commerce trends by integrating, enriching, and challenging 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.

GDPR

The General Data Protection Regulation (GDPR) imposes a range of additional requirements beyond what was formerly required under the EU Data Protection Directive. The GDPR requires organizations to fully understand how they utilize current and future information assets to incorporate these new data privacy requirements. For many, the associated changes to information management practices will require a thorough evaluation of current and future data capabilities.

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 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.

Data Quality & Integration

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.

STRATEGIC PARTNERS

SUCCESS STORIES

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.

Cloud Integration for World's Largest Domain Name Registrar

Connected hybrid technical landscape from legacy to cloud-based applications and enabled cloud ERP for finance, HR, and planning.

PARADIGM INSIGHTS

Azmath Pasha Joins Paradigm Technology as Chief Digital Officer

SCOTTSDALE, Ariz. (May 6, 2021) – Paradigm Technology announced today the hire of Azmath Pasha to oversee the Analytics, Data, and Digital Product Engineering solution pillars across the firm, driving internal as well as client- and partner- focused thought...

Malik Azeez to Lead Paradigm’s Offshore Service Delivery

SCOTTSDALE, Ariz. (May 4, 2021) – Paradigm Technology Announced today Malik Azeez, Director of Product Information Management (PIM), will be taking on the role of Offshore Service Delivery Manager, extending their infrastructure to a global level. Malik has been with...

Application Cloud Migration: The 4 R’s

By Preetham Michael, Client Partner   Let's start at the beginning - application cloud migration is the process of moving one software application from one cloud computing environment to another. This might sound straightforward, but it's important to note that...