Historically, the travel industry had been lagging behind in terms of adopting and implementing neoteric technology features. With an array of diversified systems existing in the travel supply chain, there is a lack of a normalized data standard which makes access to accurate data, a moving target. Addressing the complexities associated with travel data and help clients improve their data assets, DVI provides the ‘DVI Vantage Point’ product. Enabled with machine learning and Master Data Management (MDM) capabilities, DVI Vantage Point explores data from the distribution channels and client’s internal systems to improve its quality. “Through machine learning algorithms, we match, reconcile, and compare the data from various sources for a specific transaction and record the most accurate and up to date information into the database. This avoids data duplication and the resultant confusion due to inconsistent data,” says Steve Harter, CTO. For example, DVI Vantage Point tracks data from expense management systems, travel agencies, and credit card companies, and uses smart algorithms to reconcile the travel data and display it as a single source of truth, in a consistent format, leaving no room for inaccuracy. What is more, DVI’s algorithmic models get smarter automatically by learning from the data coming from multiple sources, leading to more clean and accurate record of travel data.
To augment the value of their analytics, DVI integrates best-of-breed data visualization tools, rather than developing graphical engines internally. Unlike the traditional reports, the company’s visualization-driven insights provide travel-related information in an intuitive and interactive manner, helping the decision makers to act quickly.
With an aim to establish itself in the global market, DVI is striving to work with multiple languages and currencies to support a wider customer base. The company is undertaking various R&D projects in an approach to onboard the latest interactive and easy-to-use interfaces like holographic and glitz digital assistants to better the client experience. DVI is also poised to introduce new versions of DVI Vantage Point to manage the exponential influx of data even as they plan to venture into other verticals like indirect materials, insurance, telecom, automotive, and healthcare.
Through machine learning algorithms, we match, reconcile, and compare the data from various sources for a specific transaction and record the most accurate and up to date information into the database