Magazine

The 21st century is already over by 20%. Congratulations to those who survived because many legacy businesses didn’t. It’s not that the future suddenly appeared before us, but COVID-19 has certainly sped up a shift to digital and the trend is developing. Legacy system modernization in financial services has been necessitated for a few years now under pressure from new FinTech together with established tech giants, but 2020 stressed why it’s time to accelerate system upgrades. Regardless of whether a business was born in the digital era or is now catching up to it, none remain unaffected by the new elements of digital transformation in financial services.

The year 2020 was tough. Pharmaceutical companies were faced with numerous challenges: rising prices, reduced demand for prescription medicine, loss of exclusivity, and cybersecurity threats. However, the best is yet to come in 2021. New ways to engage and enroll patients, usage or real-word-evidence, an emphasis on digital marketing, the rise of telehealth, and high-tech implementation of innovative solutions. Stay tuned for more!

M, or Open Application Model, is a catchy idea for runtime-agnostic cloud native applications. Being in its early stage, Open Application Model is already supported by Microsoft and Alibaba Cloud, so chances are, it will gain its fair share of popularity. In the article below we will cover the key concepts of the Open Application Model and how OAM helps with building and handling of the distributed applications.

Salesforce platform is one of the top market players driving business opportunities and customer engagement through technology. We offer an overview of Salesforce capabilities and potential. Avenga expertise in the Salesforce ecosystem, its implementation, integration, customization for the enterprises on their path to recovery. How do relevant service offerings, crafted apps, rich integrations deliver digital maturity and value to customers that are not just good enough but perfect.

Digital transformation in business stands for speed, and faster business is about removing humans from the processes and enabling as much automation as possible. In the case of the digital ecosystems of applications and APIs, it means fast reliable resilient communication between different microservices and legacy applications. In the piece below we are taking a closer look into Apache Kafka, the most popular stream processing software in the world. The market analysis shows an adoption rate of 80% to 90% by the enterprises that use Kafka in their production environments. We will explore its pros and cons and its future development.

Digital transformation never stops and never ends. A digital consumer of the 21st century expects new features for perfect user experience, exceptional usability and comfort. The ability to deliver features faster is great, but it comes with multiple risks. Many of them can be addressed by using feature toggles (also feature flags) – a strategy of creating digital products with additional features, new and experimental ones, and allow them to be used only by particular users, in particular contexts and within specific time frames. As simplistic as it sounds for business, feature toggles are not as simple for development and devops teams to be implemented. Have a look.

Today’s corporate needs shift towards data-driven management, connected experiences and real-time analytics. That’s where self-service BI is becoming a viable instrument for regular business users to access, analyze and visualize data from different sources, simultaneously eliminating dependence on the IT teams or data analysts to present the information from that analysis and make accurate business decisions. Explore how self-service business intelligence (BI) triggers the productivity of business by enabling agile decision-making based on relevant data across the whole organization.

DevOps have helped to cross the boundaries between software development and IT operations. Now we need to cross another border and remove another silo. This is about removing another division line, this time between data teams and software teams. DataOps is an inevitable evolution in the data area, which is becoming more important than ever. Maybe the name will change, but the idea will certainly last.

Closing the loop in CLM is about having a clear and solid understanding of the efficiency of your marketing efforts. Read about the benefits and drawbacks of applying closed loop marketing (CLM) solutions for pharmaceutical companies and how CLM helps to obtain content necessary for high-quality interactions with the HCP market, and provide more meaningful dialogue with the doctors.

Data science can become a viable instrument in optimizing quality and speed in the recruitment process and, more importantly, provide fact-based analytics of the data and insights to be driven from it. In this article, we are going to show how we used natural language processing to understand the resume and then parse the information from it. The approach we applied to extracting relevant entities made it possible to group the real-life resumes and find similarities according to the required set of features.