How we work
We combine the industry’s best service delivery standards with unprecedented solution personalization practices.
Data consulting
Unlock the value of your data with Avenga’s data consulting services. We’ll help you create a data strategy tailored to your needs and implement new operational, BI, and AI models.
62%
Retailers gained an edge over the competition by using data analytics
88%
Executives plan to invest in AI and data analytics urgently
70%
Enterprise data goes untapped
We combine the industry’s best service delivery standards with unprecedented solution personalization practices.
We will respond within two hours and arrange a meeting with you at your earliest convenience.
An expert matching your market niche and industry will get in touch to discuss your requests and determine the next steps.
You will get a service suite offering, including time and cost estimates, for each of your project’s stages.
Sign the contract
We start delivering the results while keeping you updated on the progress.
Accredited business and tech development experts that ensure a business-focused approach.
Velocity equally accompanied by quality is what our Agile approach boils down to.
A tech stack wide and expansive enough to erase the limits of flexibility during any project.
Regardless of the industry, we build software that does not react to, but prevents cyber security and legal issues.
Avenga builds products with technologies that adapt to the client’s requirements, not vice versa.
Our strategic services are meant for those looking to reinvent their approach toward making technology benefit their business.
Avenga specializes in bringing incredible business ideas to life with the help of custom solution engineering services.
Focus on your core busincess while Avenga takes comprehensive care of your system.
Delivered on the client’s terms and conditions, we provide staffing services that make a difference.
Avenga is a global technology partner for pharma and life sciences companies looking to gain or retain a competitive advantage by redefining the meaning of high-quality products and services.
78%
Global pharma companies chase digital transformation
2.5 bln
Expected life sciences software market growth by 2025
We harness technology in the insurance industry. Avenga uses a strategic framework to ensure long-term value for our clients.
60%
Insurance back-office operations can be automated
50%
Next-generation customers require omnichannel in-app experience
Digital solutions serving financial, banking, insurance, wealth management, and fintech institutions must meet the fast-changing industry’s needs by offering their clients velocity, security, adaptability, and innovativeness.
58%
Enterprises using cloud financial solutions
40.6 bln
Predicted banking software market by 2029
Amid the automotive industry’s vibrant transformation into a technology-driven set of markets, Avenga offers its clients unconditional support in their digital endeavors.
620bln
Predicted OEMs’ software-based revenue by 2031
8.1%
Forecasted CAGR for vehicle embedded software by 2026
Over the years of providing comprehensive data consulting services, we've refined and perfected the process of data strategy creation. Usually, we begin with assessing our clients' current data infrastructures. Then, we propose ways to align all the data initiatives with their business goals in order to obtain new data capabilities. And after that, we help plot out step-by-step data strategy implementation roadmaps.
The simplest answer to this question is this: data governance is the policy while data management is the practice. That is, data governance establishes the procedures and policies applied to data. Meanwhile, data management enacts those procedures and policies to turn data applicable to decision-making.
Data management is the basis for data-driven decision-making. As an experienced data consulting company, we help companies build data management in a way that allows them to reduce data silos, enhance compliance and security, and boost data processing scalability.
Data collection, storage, processing, security, and governance are all parts of data management. And the success of all of these data management components largely depends on a solid data architecture.
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