Data Integration
Breaking data silos and turning “my data” into “our data”
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The Need for Data Integration
In today’s world, data integration is no longer a technology term – it’s a business imperative. After all, business strategy depends on how quickly you can analyze and act upon data, which requires building tools that provide a clear and consistent flow of information. Successful data integration is a business’ dream. It means coordinated databases, multiple software systems, seamless access to critical information, and various team members keeping in step – and all of this without any hiccups. TrinityTG has been providing top-shelf solutions and strategies to reach that pinnacle and help clients with a myriad of data integration difficulties.
What Data Integration Can Do
Transmitting Data Across Systems
We successfully transformed and transmitted medical information, housing details, patient demographics, and health and custody schedules for nearly 150,000 inmates in California’s state correctional system.
Benefitting Multiple Parties
We built a system that integrates enrollment notifications for over 12 million beneficiaries in 180 health care plans. The system generates payment remittance advice for $4 billion in monthly capitation payments, and processes over 100 million payment calculations each month.
Economic Health
We engineered a solution that tracks and stores all financial data from State-hired investment advisors to manage over $100 billion in their investments, including all pricing information used to provide pricing and valuation of investment portfolios.
Extending the Life of a Legacy System
The decision whether to renew or to replace legacy applications has always been a challenge for corporations. Businesses often wrestle to find a remedy that addresses the excessive overhead that incurs when building legacy systems. Legacy systems that run on big iron, or are heavy on infrastructure, continue to comprise the core of many mission-critical computing systems. When we replace them, the new technology can be disruptive, expensive, and potentially risky. Data Integration is the favored course of remediation over rip-and-replace strategies. Data Integration is the modern, safe, and most wise course to extend a legacy system’s life.
Sharing Data Across Divisions
The tectonic plate of the entire client-facing industry has shifted quite a bit from the last decade. We live in a world of change where the only constants seem to be the need to boost performance and collaborate with others to enhance client satisfaction. In this highly matrixed, integrated, and global environment, we rely heavily on shared knowledge to solve problems jointly. This helps us provide data and information to support our work.
Data Integration resolves these demands; it builds powerful synergy between divisions, and between individuals from multiple divisions. This, in turn, helps to build an effective, robust, and strong system. Data integration enhances data collaboration. It enables us to visualize data from all sources. It ensures that data travels to the right people, in the right format, and in time to use it to make effective decisions.
Today’s businesses are swamped with data from multiple sources, and from information converging from different layers of the business. Over the course of the last two decades, TrinityTG has become a master in building solutions that help an organization’s internal workforce effectively share relevant informative data across divisions. This boosts collaboration and increases end-client satisfaction.
Exchanging Data with External Business Partners
Today’s business environment demands collaboration. Every enterprise exchanges and shares data with a network of vendors, customers, and other business partners. To support this collaboration, your IT organization needs to integrate and manage the data not just within its firewalls, but also needs to be able to handle multi-enterprise data integration. To add to the complexity, enterprises can’t dictate to partners the data formats they should use, or control the changes they make. B2B Data Exchange has always been a challenge in Data Integration. To overcome these challenges with ease, TrinityTG has been carefully analyzing the steps required to choose a Data Integration solution. We strive to provide the ideal solution – one that effectively and securely integrates any data, whether it come from external data sources or trading partners, with complete end-to-end visibility.
Combining Cloud and On-premise Data
The primary objective of Data Integration is to enable access to data from all its sources and locations, whether those are on premises or in the cloud or some combination of both. Failing to create an integration strategy that manages both on-premise and cloud-based data can lead to costly and devastating mistakes. This contributes to lower efficiency levels throughout the organization and higher expenditures. TrinityTG has come up with strategies for a hybrid data environment that is nimble enough to integrate and accommodate both on-premise and cloud-based data in a wide variety of formats.
Delivering Data in Innovative and Helpful Ways
Data integration, when done well, is no longer just a process of combining data from many different sources – it is used to deliver data in innovative and helpful ways. Data is delivered typically for analysis, business intelligence, reporting, or loading—into other line-of-business applications. The benefit is that you gain one view of all your data and can stop wasting time looking for it in its silos.
Move Your Idea Forward
TrinityTG has been developing solutions to deliver integrated data to businesses exactly when it’s needed, whether it is in batch, near real time, or real time. With a spectrum of increasingly advanced analytics, from basic reports to predictive modeling, users can analyze and visualize data across multiple dimensions. Keeping this in mind, TrinityTG has been providing a modern, simplified, and interactive approach. This empowers business users to access, discover, and blend all types and sizes of data.