By definition, data architecture enables data management professionals in business, academic, institutional, and other organizational setups to analyze and exchange data throughout the enterprise (and even an inter-exchange with the external environment, for that matter) to augment strategy formulation and arrive at informed business decisions, both at a micro and a micro level.
Data Architecture Solutions
The global big data solutioning/services market stood at around USD 165 billion in 2021 in terms of transaction volumes. This number is expected to swell up further to USD 275 billion by 2026 at a CAGR of around 11%. Over 90% of world’s digital data has been created in the timeframe of last 2 years itself, and that’s huge by any measure, indicating the rapid pace at which data generation and consumption levels are growing.
An average internet user spends 4-6 hours/day consuming and generating data, which is, again, huge by any measure. Over 80% of data generated, collected, and consumed by organizations across the globe is unstructured in nature, and that asserts upon the need for businesses of all sorts to have a data architecture system in place in a proactive manner.
By definition, data architecture enables data management professionals in a business, academic, institutional, and other organizational setups to analyze and exchange data throughout the enterprise (and even an inter-exchange with the external environment, for that matter) to augment strategy formulation and arrive at informed business decisions, both at a micro and a micro level. Data science, on the other hand, is the common point of intersection of IT, analytics, and business.
Factors driving adoption of data architecture solutions
Quite a handful of factors are contributing extensively to the trend of diverse businesses adoption of data architecture solutions in a pro-active manner:
- There is a sharp rise in the amounts of data volumes being generated, processed, and exchanged worldwide on a daily basis.
- The trends of Social, Mobility, Analytics, and Cloud (SMAC) are also contributing in this direction in a substantial manner.
- With a rapid advancement in technology, almost all related costs are falling, driving businesses of all scale, size, and age to build and maintain their own data architectures.
- More businesses are embracing digital transformation today than ever before. It’s become a hygiene factor today unlike the yesteryears when it was just a good-to-have capability.
- and more.
What’s in it for you
Both you as a business and your customers/clientele stand to benefit a great deal courtesy the data architecture solutioning deployed by us at TBC exclusively for you:
For you - the business
The critical-to-business (CTB) and critical-to-quality (CTQ) attributes that grow because of robust data architecture solutioning are:
- Building further on SMAC and digital transformation capabilities.
- Continuous process improvement.
- Data security.
- and more .
Your customers and clients can also benefit upon a host of CTC (critical-to-customer) metrics as a part of our data architecture solutions:
- Data privacy.
- Real-time information accessibility and visibility.
- Customer empowerment and sense of control.
- Specific information search and retrieval in an easy and user-friendly manner.
- Customer loyalty, engagement, retention, and repeat purchase behaviors.
- and more.
At TBC, we devise, extend, and deploy numerous kinds of data architecture services and solutions:
Data pipelines and data streaming
While data pipeline sets up the processes and the mechanisms for migration or flow of data from one source to another (destination), data streaming refers to how the data actually flows through these routes, as also the ease and the method/approach with which it is made to flow. We at TBC help you set up your data pipelines and data streaming mechanisms.
Real-time analytics and visualization
Data analytics form the throughput as well as the front-end or the output of data pipeline, the data streaming, and the data architecture processes that run at the back-end or the input feed end. We at TBC help you set-up the front end of your data architecture as well and help you build and maintain relevant and thorough data visualization tools and methods.
It’s important that data migrates/flows smoothly from one software/system to another, and application programming interfaces (APIs) precisely help you achieve that end. We at TBC hold experience and expertise in deploying API-driven solutions to make your data architectures more robust and fool-proof.
AI & ML models
Artificial intelligence and machine learning models help computers and programs assimilate data patterns and information symmetries to learn and evolve as your business continues to grow. What this means is that all repetitive processes are taken care of in your data architecture and you can leverage this capability imparted by TBC to focus on bigger goals and better things, as far as your business and the accompanying data and information are concerned.
Cloud computing and storage
In-house and physical data storage and computing are rapidly becoming a thing of the past. What’s in-trend today is Cloud – data storage, processing, and management on the web in an end-to-end manner. TBC takes care of this aspect too, as also other aspects of SMAC, viz, Social, Mobility, and Analytics (as discussed earlier).
Miscellaneous Apps and Sites
We also cover several other types of data architectures and related aspects, including but not limited to, data quality assurance, data governance and compliance, data access management and controls, data source inter-connections, data node and station management, data warehouse management, and more
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