Multiplying Insights with Data: How Draup’s Technological Mastery Disrupts Corporate Decision Making
While good human judgment has always been at the heart of good business decisions, in today’s economies of scale and complexity, data-driven decision-making systems are preferred by businesses everywhere.
This is evident from the fact that the global decision support software market is expected to reach $ 9 billion by 2026, driven by growing demand among middle and upper middle market players who want to optimize their decision-making capabilities. solutions.
And when demand increases, innovation follows. In the case of decision making, it turns out to be the integration of advanced AI, ML, Data Science & Cloud technologies into one holistic platform – Draup.
Context-rich Draup data in an easy-to-use natural language interface helps marketing teams identify new opportunities and understand what’s most important to customers, along with their strategic investment priorities. It helps decision makers anticipate key trends in sales and talent across industries.
Today, Draup is a key driver of revenue growth and a reliable intelligence platform for corporate sales teams that generate more than $ 400 billion in global revenue and human resource leaders who manage a global workforce of more than 9 million employees.
The technology and teams behind Draup
Every day, Draup’s sales and talent intelligence platforms download more than 10 million data points from more than 8,000 sources, which are fed into their 70 (and growing) customized machine learning models.
Needless to say, such an ambitious endeavor requires the use of cutting-edge technologies backed by experts. And that’s exactly what drives the Draup Platform.
“As a team, we work with a variety of cross-functional teams, such as product managers, designers, researchers, software engineers, data scientists and others, to provide them with data,” said Chandan Kumar, data architect at Draup. “This is then analyzed, interpreted and presented in various forms on the platform, research reports, personalized insights and the development of machine learning models, statistical models and algorithms,” he explains.
Draup’s engineering team develops solutions that use big data analysis, data processing and application development while working with distributed systems. They work on the extraction and processing of terabytes of data on a daily basis and create a fast and easy-to-use interface for internal and external stakeholders.
And when you have huge amounts of input that need to be absorbed, analyzed and presented in intuitive forms, you can’t help but build innovative solutions. Draup’s machine learning and data teams have built a solid sales and talent intelligence platform that Fortune 1000 companies rely on for their critical business solutions.
The Data Science team at Draup is working on cutting-edge ML models to develop NLP-based models that power our platform. The operational task of the team includes working with various teams in Draup to collect, analyze and create insights for large volumes of data collected through multiple sources. This data is then used to generate human intelligence for the platform through artificial intelligence.
Despite all these technologies used, Draup’s DNA is still managed by best-in-class engineering and data science teams.
Creating an environment for learning and growing
Rapid thinking in startups is a well-known phenomenon. This is essential for their survival. However, in Draup, this thinking is also aimed at building the careers of their employees.
With the constant exposure to the latest technologies, Draup employees are expected, encouraged and supported to continuously improve their skills.
Draup’s initiatives when it comes to raising the skills of their employees have promoted a culture of continuous training and retraining throughout the company. Not surprisingly, given that Draup has also built one of the flagships Retraining solutions powered by AI out there.
“Each sub-team in Draup conducts a weekly group survey of one hour. One member of the team is given a chance to talk and get others to learn from their recent project, the MOOC they have completed, or any personal project. Technology is changing at a rapid pace – What is new and revolutionary today will become redundant and a legacy tomorrow. The only way to stay on the curve is to keep learning, ”said Kashish Gajodia, Technical Director, Draup.
“To ensure personal and organizational growth, Draup promotes self-directed learning as well as peer learning. A variety of activities lead to employee training, from company-funded online courses to regular knowledge-sharing sessions. In addition, employees are given opportunities to improve their skills through learning through experience through projects, “he added.
Draup’s open door policy promotes the free flow of ideas and nurtures a sense of ownership and a spirit of teamwork.
Md Mahabub Alam, a software development engineer at Draup, said: “We are an employee-driven company based on factors such as transparency, promotion, diversity and commitment. In addition to upgrading our skills, the company guarantees that we will be rewarded in cash for productivity and on a timely basis. ”
As the decision-making market progresses to more verticals, Draup Engineering & ML’s teams are looking to expand into exciting new uses by increasing their hiring. IN recent $ 20 million funding reaffirmed Draup’s belief in his business model and instilled a renewed sense of purpose throughout the organization.
About Draup: Draup is an artificial intelligence-driven corporate decision-making platform for global CXO leaders in sales and talent. Draup for Sales is an artificial intelligence-driven sales intelligence platform that enables sales teams with information about industry, accounts, and stakeholders and allows them to target micro-target leads. Draup for Talent is an artificial intelligence-based talent retraining and intelligence platform that helps HR leaders and talent management teams plan, hire and manage a future-ready workforce.
Visit us at Draup.com