Region: NA
Project summary: Save a fortune in time and cost for Experian and our clients when they join their performance data with Ascend Analytical Sandbox™ data, all in self-service! Our solution uses Looker as a filtering tool to integrate with EMR and Hive to join performance and Sandbox data.

Region: APAC
Project summary: We need to have visibility into a person’s creditworthiness to evaluate debt repayment probability. This in turn can help with decisions to offer credit, loan size and affordable interest rates, balanced with the applicant’s immediate need to fulfill. Ideally the score can also help with future lending decisions to avoid debt traps. The API framework has prebuilt connectivity to Experian’s API, such as bureau API as well as data partners API, integrated into Experian’s ecosystem. This framework will benefit both the data partners and financial institutions (FIs). FIs only need to perform a one-time API integration with Experian to access the broad range of subscription services Experian has to offer. They also have the option to choose between Score as a Service or Model as a Service, depending on the business requirements. This can strengthen Experian’s market proposition and as an industry leader in the credit space. Due to the expanded services to FIs, data partners will likely see an increase in transaction volume, enjoying higher returns on their data.

Region: UK&I
Project summary: Today we see around 30% of people searching for credit cards or loans on Experian UK Consumer Marketplace getting no or low chances of approval. Our hypothesis is that many of these people would be able to get higher chances of approval for credit if the lenders could use more information. Specifically, marginal declines based on risk assessment and those with little history (thin file). There’s potentially an opportunity to use open banking data, and we’re aware of others in the market doing this. We need to understand where and

Region:  APAC
Project summary: Data extraction and ingestion from on-premises databases to Ascend Analytical Sandbox™ in the cloud is manual, effort intensive, time consuming and error prone. It diminishes data freshness, which is critical for analytical work quality. Tapping into Experian’s in-house data pipeline solution, Aperture Data Studio, as well as UXA platform capabilities, we can create automation scripts, which take care of data extraction, ingestion and even verification. Users would receive an email notification once the entire process is completed with statistics and comparison to ensure accuracy and completeness.

Region: EMEA
Project summary: Every region is spending a huge amount of money for embarking on the open banking journey and are mostly reinventing the wheel everywhere. Our goal is the provide open banking-related connecting APIs as a service to significantly increase time to market.

 Region: NA
Project summary: Experian needs to migrate Decisioning as a Service℠ clients to Experian One as part of our off mainframe/technology modernization plan. Over 50 of these clients use NetConnect (XML call) to reach their legacy decisioning solutions. Presently, to make use of Experian One, they need to recode their calling systems to use JSON. In many cases, this can’t be done quickly nor do clients have incentive to do so. This represents a significant risk to our migration plans, so a frictionless solution is needed to minimize client-side changes. We propose to create a seamless conversion service that will allow for backward compatibility from XML to Experian One JSON.

Region: Brazil
Project summary: Serasa Descomplica will support micro and small enterprises to manage their finances by exploiting our analytics expertise and enriching our bureau database with open finance and open receivables technologies. The solution provides actionable recommendations based on the financial transactions of the enterprise, such as anticipation of receivables, taking credit or investing. Furthermore, Serasa Descomplica will become a hub of services and financial institutions democratizing credit access for small and midsize enterprises.

Region: UK&I
Project summary: Update Once is a service that helps recent home movers easily and securely update multiple organizations with their new addresses. By using Experian’s bureau data, ID+V solutions, 2,000+ business relationships and open banking platform, we believe we can bring a unique, much needed and valuable solution to market.

Region: EMEA
Project summary: We collect digital footprints and device data in real time through a specific data gathering technology to create an explainable and fair ML score to qualify leads and assess credit risk worthiness. We use over 250 traces that users leave on the web/apps to generate signals and reveal their picture in order to cover potential “no hits” with a predictive model based on alternative data. We designed the solution using existing capabilities, and data samples were analyzed to confirm the predictability.

Region: UK&I
Project summary: We want to enable UK consumers to transition from fossil fuels to renewable energy products by helping public sector remove barriers that stand in the way of consumer adoption (lack of infrastructure, cost, anxiety and so on). We propose a new module in AIS that enables accurately predicting future consumer demand for green products (like electric vehicles) for each UK postal code. This enables government and utility companies to prepare the relevant infrastructure (e.g., EV charging points) in advance to seamlessly drive the transition to a sustainable future.

Region: Global DA
Project summary: We propose to leverage the existing ecosystem specialized in mental health, in voice sentiment analysis, and enable those services into our PowerCurve platform. Experian MarketPlace will be the entry point where clients can pick and choose services and build a new solution with those services or add to existing solutions. Experian MarketPlace is the link between business and innovation that will allow our customers to build a disruptive product and third-party fintech to reach a large number of clients.

Region: APAC
Project summary: We can solve the credit paradox problem by creating scores off noncredit, consumer-consented data like bank transactions, mobile SDK, and telecom and clickstream data. We propose a consumer journey that lenders can seamlessly integrate into their existing onboarding journeys.