Our Enterprise Data Integration & Data Management practice is designed for the Data-Driven Enterprise.
At TTS, we understand that business most critical asset is data. As a result, businesses need to precisely define, integrate and effectively retrieve data shared within its internal applications and external communication.
Our data analytics consultants focus on the creation of accurate, consistent and transparent data content within the business. More importantly, we help businesses to get the most out of their data.
We apply insights and a combination of people, process and technology to deliver the following services:
At TTS, we provide data quality service to manage the integrity and quality of data sources. We build processes and rules to improve the quality of data.
Our experience consultants evaluate, configure and implement high-performance data warehouse to create a central repositories of data from various application systems within an organization. We proactively provide solutions with future add-on capacity to avoid unnecessary costs due to over-provisioning.
We have experienced data integration experts that combine technical and business processes from disparate sources into meaningful and valuable information. Over the years, we have assisted companies in consolidating data stored in silos from various applications.
As part of our enterprise data management practice, we offer data replication service that allows organizations to share information across different application systems by replicating data between different hardware platforms and data sources without compromising data integrity.
Our MDM solutions comprises of delivering reliable business critical data using a set of processes, technologies, and business rules to collect, match, reconcile, cleanse, relate, and distribute the master data to and from applications within an organization.
At TTS, we resolve the challenge of inconsistent data by providing one version of accurate master data to run core business processes.
At TTS we choose the right approach to data analysis to provide data quality service to manage the integrity and quality of data sources because we are aware that Data quality has no intrinsic value. We build processes and rules to improve the quality of data