Top-5
U.S. Bank
Client digitization and analytics
CR8™ provides real time data streaming from over 50 different core systems in a global corporate banking organization to a massive data lake where the data is used for Customer Digitization apps, and machine-learning based predictive analytics.
Global Power and Energy company
Feed Enterprise Data Platform for data science orientation
CR8™ is empowering this multi-national energy company to adopt a data science orientation by streaming data from core SQL-based systems into a new NoSQL environment. Data scientists can now access this data and perform advanced analytics on it to arrive at better ways to utilize company resources and improve customer service.
Luxury car manufacturer
Data lake for real time analytics
CR8™ streams dealer related information from global users into a consolidated data lake for advanced analytics, ad-hoc queries and reporting.
Insurance conglomerates
360˚ customer view
Large insurance companies suffer from data siloeing with different databases for different LOBs (lines of business). CR8™ is helping major insurance companies to create a 360˚ customer view by streaming transactional data from core systems to a data lake where a consolidated view of each customer’s portfolio can be viewed and acted upon.
Leading Gaming company
Predictive analytics and proactive marketing
Information from electronic gaming machines is streamed, by CR8™, to a central data lake where predictive analytics is used to develop proactive marketing strategies to select customer groups.
Financial Management
Stream to Graph DB for Fraud detection
A leading financial institution streams widely disparate data transactions from core systems to a Graph database via CR8™. The Graph DB maps relationships between these data transactions to help detect potential fraud situations.
Use Cases
360°
Customer View
With DBS-H, you’ll be able to
- See the entire customer picture, and leverage it faster.
- Have your current systems (CRM, social, shopping, communication channels, and more) integrate information.
- Make smarter decisions by streaming more unified data to your analytics and BI systems.
Let’s get started!
You have the customer data, but it’s scattered and chaotic. DBS-H harmonizes your data.
DBS-H improves customer experience, and helps you to capitalize up-sell or cross-sell opportunities regardless of the channel. We facilitate transparent integration of various existing SQL databases with a NoSQL data hub, by continuously integrating Big Data with relevant data from relational data sources.
The DBS-H solution enables a 360° customer view business case by integrating transparently and continuously from existing SQL-based data sources.
User Profile Management
With DBS-H, you’ll be able to
- Bring together all user data into one organized and flexible place.
- Avoid fragmented data with hybrid systems.
- Simplify complex user profile management.
Let’s get started!
Scalability, data flexibility and performance aren’t just user expectations; they’re business requirements.
DBS-H allows a single point of view for ALL your user profiles.
Customer data and financial records require strong data consistency and transactional integrity. These requirements are supported by SQL databases. NoSQL operational databases are capable of storing unstructured information about user behavior, social interaction, and customer engagement. Continuous integration of financial records with social data, without compromising data integrity, is critical for the successful management of organizational data. DBS-H supports hybrid systems in real-time.
Catalog Management
With DBS-H, you’ll be able to
- Manage cross-departmental catalogs.
- Avoid business unit fragmentation.
- Introduce new products and services on demand.
Let’s get started!
Manage catalogs from diverse sources.
Continuous integration of structured and unstructured customer data in operational databases such as inventory, financial assets, media and more is easily managed. DBS-H continuously replicates all required changes from SQL to new NoSQL operational databases in near real-time. Maintaining continuous data integration flow between structured and unstructured data is key to the successful management of enterprise data.