The reality you are facing every day is no secret:
diverse and distributed data, with questionable
quality. As a result, your organization is under
tremendous pressure because self-service tends
to be much more complex than expected.

Customer Intimacy

Knowing who your customers are, what products or services they have or do not have, and how they are related to other customers across all lines of business is critical to becoming more customer centric. At the same time, customer expectations are changing, competitors are becoming fiercer, and employees need the right information at their fingertips to cross-sell new products and provide the best customer experience in today’s market via omni-channel marketing.

Traditional business silos, ongoing mergers and acquisitions and antiquated customer information systems continue to cause companies to struggle in connecting relationships with customers, employees, and business partners. Customers’ past investments in analytic applications and business intelligence software provided some information about customers, account relationships, and account status. However, such systems were not designed to monitor, manage, govern, and master the latest and most trusted information across all systems—from customer- facing channels, to CRM, to marketing, and to front-office trading systems across all lines of business. Only a customer-centric data management platform can do all this.

MDM (Master Data Management), Data Integration, Data Quality, Analytics, CRM, Campaign Management

Product Transparency

Having full insight across the product lifecycle is a fundamental requirement for a number of verticals. This is rather complex as products evolve and market requirements demand that product lifecycles become even more dynamic. We bridge the different product related silos and enable the different stakeholders to more efficiently acquire, author and publish product information. The result – quicker time to market with reliable omni-channel product information.

MDM (Master Data Management), Data Integration, Data Quality, Analytics, PLM, ERP

Supply Chain Insight

In today's challenging economy, companies are being forced to organize their supply chain operations with increased and permanent volatility. Most existing supply chain strategies were built on the assumption of stability and designed to plan, produce and deliver on a JIT basis, thus assuring lean operations and inventory. Today’s business reality is different and the lack of flexibility in supply chain designs can prevent companies to rapidly respond to changing conditions. Key in all of this is the combination of the right analytical insight and properly governed information assets.

Data Governance

Holistic data governance means you’re capable of managing data completely across the organizational, architectural, and political silos in your company. This requires aligning people, process, policy, and technology to ensure the delivery of trusted, secure data so you can meet industry regulations, reduce the cost of doing business, and grow revenue. If you ignore the need for data governance and management, you risk of missing out on revenue, market share, and product portfolio growth, as well as optimized customer experiences and more efficient supply chains.

Business Semantics Glossary, Metadata Management,  Master & Reference Data Management

Data Protection

With our Data Protection solutions we support you in the context of your data security & privacy requirements. Data security governs access to data throughout its lifecycle, whereas data privacy defines that access based on privacy policies and laws—for instance, who views personal, financial, health, or confidential data. Both help organizations improve the control of information access to reduce sensitive data risk, ensure compliance with industry or civil regulations, and implement data security best practices.