We will provide you with tools and methodologies to forge data into useful insights and enable your organization to make data-driven decisions in response to business challenges. We have a deep understanding of business operations resulting from our rich track record as a Life Science industry partner.
Estimate your future sales through the use of various sources of data and machine learning support.
Use data to better understand your customers and make right decisions to retain them.
Find anomalies and detect fraudulent activities at an early stage or even before they occur.
Build a data driven organization based on widespread access to data on many levels.
Our team utilizes market-leading solutions and services that allow us to create cloud-ready, scalable and efficient IT solutions.
Transformation requires team cooperation and readiness for change. With our 350+ highly qualified engineers we can help any enterprise transform into the most digitally advanced organization.
With over 13 years of experience as a Senior IT professional, I was responsible for designing, building, and delivering innovative technology solutions within Fortune 500 companies. I led many large-scale Data Warehouse implementations and consultancy projects in the area of data quality and data management in the UK, France, Germany, Japan, Poland, and the United States. As a Data Science enthusiast, I am continuously expanding my knowledge of advanced analytics.
I am a dev-ops specialist and Big Data Architect with 7 years of experience in Big Data, Cloud BI technologies like Amazon AWS, Redshift, Hadoop (MapR, Cloudera). My area of expertise includes architecting containerized runtime environments based on Kubernetes and AWS Cloud, architecting CI/CD stack based on Azure and designing Java based services using Spring / Postgres / Presto / K8S.I hold the following certificates: TDWI Certified Business Intelligence Professional, MapR Administration, TOGAF Certified Architect, Qlikview Certified Developer;ITIL® V3 Foundation, Prince2, OMG Certified UML Professional, SUN Java Programmer.
AI-enabled developer tools can significantly increase a developer’s productivity. But there are the potential pitfalls that developers may encounter when using them. How to effectively use AI-enabled developer tools to enhance your workflow, and avoid errors that could lead to new problems?
It’s clearly a challenge for IT Risk Mangers to keep up with technology’s pace and pervasiveness. With cybercrime’s annual growth projection of 15%, risk managers can easily get sucked into an accelerating arms race with cybercriminals. It’s important to carefully pick your battles in order to win the war.
If data is the new oil, it’s rocket fuel in marketing. Companies that have access to rich, live data and deep data analysis expertise, and use it in the right way, do enjoy disproportionate benefits.
Well-designed enterprise systems will make personnel more willing to use the tools you are, after all, implementing for them. And organizations will gain a competitive edge, becoming truly data-driven through proper data experience.
In business, important decisions are made based on data. That is why it is so important to present them properly. The role of visualization in decision-making is crucial for buissness.
As we’ve shown above, you can learn a lot from one change management process when implementing the other, with the first lesson being — don’t neglect the digital world while you’re transforming the analogue one.
On the one hand, you can use the experience gained when the pandemic destabilized the market, but on the other — significant flexibility is necessary, as the situation keeps dynamically changing, what with new sanctions being imposed on Russia and Belarus all the time. And information technology has conveniently made it possible to greatly improve the effectiveness of managing operational risks.
A successful completion of an IT project requires planning, sharing responsibilities, implementation and, above all, teamwork. If the project is large and complex, team needs SAFe — Scaled Agile Framework.
Many manual testers would like to start their journey with developing automated tests, however, without a good learning path and some technical background, the road seems to be a bit bumpy. What skills should you develop to become a professional test automation engineer?
Our engineers, top specialists, and consultants will help you discover solutions tailored to your business. From simple support to complex digital transformation operations – we help you do more.
