Data Analytics
AWS based analytics services are purpose-built to help you quickly extract data insights using the most appropriate tool for the job, and are optimized to give you the best performance, scale, and cost for your needs. Being purpose-built for a wide range of analytics use cases, the tools used by TCC and our partners support interactive analysis, big data processing, data warehousing, real-time analytics, operational analytics, dashboards, and visualizations.
Below shows just how performant AWS is in the data space
What You Can Expect from TCC and our partners
A modern data architecture acknowledges the idea that taking a one-size-fits-all approach to analytics eventually leads to compromises. It is not simply about integrating a data lake with a data warehouse, but rather about integrating a data lake, a data warehouse, and purpose-built stores, enabling unified governance and easy data movement. With a modern data architecture on AWS, customers can rapidly build scalable data lakes, use a broad and deep collection of purpose-built data services, ensure compliance via a unified data access, security, and governance, scale their systems at a low cost without compromising performance, and easily share data across organizational boundaries, allowing them to make decisions with speed and agility at scale.
Data Platforms
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud, offering almost 300 fully featured services from data centers globally. There are four cloud deployment models: public, private, community, and hybrid. Each deployment model is defined according to where the infrastructure for the environment is located - at TCC, we believe there is a strong ROI model when you use AWS.
What You Can Expect from TCC and our partners
This diagram shows best practices for building a customer data platform covering customer data on AWS from a broad range of sources – including contact centers, email, web/mobile entries, point of sale (POS) systems, customer relationship management (CRM) systems and social media. It explores each stage of building the platform and covers data ingestion, identity resolution, segmentation, analysis and activation. The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.
Data Governance
Organizations are looking to protect, secure and control critical data assets. Data Governance establishes the processes and responsibilities that ensure the quality, consistency, and security of the data used across an organization.
Data governance is the process of managing the availability, usability, integrity, and security of the data in enterprise systems, based on the internal data standards and policies that control data usage. Effective data governance ensures that data is consistent and trustworthy. The data governance process enables organizations to ensure that high-quality data exists during the lifecycle of the data. Data governance implements data access rules and policies to improve data security.
What You Can Expect from TCC and our partners
A data governance program is essential for protecting sensitive data and adhering to privacy regulations. The right approach can also improve how people use, analyze and share data across the company, increasing accountability as well as improving results.