5 minutes read
Data is the new petrol but just working with data is not enough. To be more effective, you need AI algorithms to help you with the analysis of the data. Over 70% of IT vendors require a discovery phase to find a proper AI solution before starting the development.
Spectrum delivers integrated marketing, communications, and media solutions hyper-focused on science. Fueled by the scientific method, the proprietary planning process of Spectrum allows to position the clients’ business challenges within the border landscape, leading to strategic, creative solutions across the marketing mix. Spectrum works for: biopharma, emerging biotech, established biotech, clinical trial recruitment, consumer science, public affairs, corp comms, health technology.
In 2020, Spectrum acquired VITech to make a discovery phase for finding out the proper AI solution for solving certain client’s needs.
As a result of the discovery phase, the client has received the discovery report with all required artifacts for developing the future solution: the software architecture design description, the software proof of concept document, the work breakdown structure, the team composition, the road map. Additionally, a web-based application was developed that provides faster and more reliable data analysis of client databases. It allows to facilitate and accelerate decision-making in the area of marketing.
Tekton (VITech SDLC)
Data analytics by certain criteria has always been a challenge for marketing companies, including Spectrum. At one point, their data storage accumulated such a huge amount of information that it was quite challenging to derive meaningful insights from it within a reasonable timeframe. However, having data is far from being enough. What’s more important, is to make use of that accumulated data. This was the problem that Spectrum asked VITech to help with.
By that moment, VITech had already developed Science puls, a solution capable of analyzing how frequently certain terms and expressions are used in the scientific literature over a period of time. This helped us to accumulate valuable experience working with the company’s complex request to the database.
We have started thinking about the new solution and working towards a Big Data-based calculation approach for healthcare years before it became a recognized industry need.
The first stage of our discovery phase consisted of the following components:
The result of the first phase of the discovery was a validated list of hypotheses and a validated user interface. It addressed the basic client’s needs. However, we’ve identified a number of additional analytics-related issues that a web-based application needed to consider.
During the first phase, the following specialists were involved:
The new, enhanced web-based platform was specifically designed by the VITech team to provide quick answers to complex questions like:
To achieve such a result, VITech has built a web-based application with a clickable interface. The frontend developer and backend developer joined the team at this stage. Our SDLC allowed us to significantly reduce the development time at this stage. Instead of the usual 2 or 3 weeks, the initial development period took only 6 hours.
As the result of the second phase of the discovery, the technical view of the project was developed which includes:
The third phase of the discovery was concentrated on the project management issues. The following artifacts were developed: The software architecture design description, the software proof of concept document, the work breakdown structure, the team composition, the road map.
The resulting document of the final stage of the discovery phase was a discovery report consisting of the following parts:
VITech has developed the next-generation ML solution that provides faster and more reliable data analysis to accelerate decision-making in the area of marketing. It has integration capabilities to be expanded into other businesses.
The key advantages that VITech designed into the system architecture include:
This would be an important step forward towards the market leadership in population analysis and gives a client capability to create requests for information, requests for proposal, requests for a quotation according to the specific needs.
The final list of artifacts received by the client includes:
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