Siebel Systems, Inc. announced a series of new products and enhancements to all Siebel Analytics platform products, resulting in the introduction of the Siebel Enterprise Analytic Platform 7.7. With Siebel Enterprise Analytic Platform 7.7, Siebel is responding to customers' need for new levels of business intelligence and insight across the enterprise. With today's announcements, Siebel Systems is further extending its leadership in customer analytics and is now expanding its focus to include the large market opportunity for a new generation of enterprise-class business intelligence platform solutions.
"Since introducing Siebel Analytics 7, we have become the clear leader in the customer analytic applications market," said David Schmaier, executive vice president, Siebel Systems. "Many of our blue chip customers are now using Siebel Analytics beyond customer analytics to provide new levels of business intelligence capabilities throughout the enterprise. Today's announcements represent an important step in our strategy of providing the customer analytics and enterprise business intelligence solutions that organizations require to derive maximum business value and competitive advantage."
Companies have made very significant investments in core operational systems such as finance, supply chain, ERP and CRM, which have for the most part yielded considerable business benefits. However, most of the value from these systems has been derived through increased efficiency and automation. Additionally, most organizations have invested in data warehousing and various business intelligence tools including query, reporting and OLAP products.
While these investments have provided the necessary "data infrastructure," very few organizations have been able to truly maximize the value of their information and deliver on the vision of providing the right information, to the right person, at just the right time, to enable fact-based actions and interactions.
In providing market leading customer and business insight solutions for many of the leading and most analytically sophisticated companies across a wide range of industries, Siebel Systems has delivered the innovations necessary for a new generation of business intelligence capabilities. Now, with the introduction of Siebel Enterprise Analytic Platform 7.7, Siebel Systems is responding to the continuing requirements of these thought leading companies with the next generation in enterprise business intelligence platform solutions. Unlike traditional business intelligence tools, the Siebel Enterprise Analytic Platform is uniquely capable of addressing the following critical customer requirements:
- Pervasive, Actionable Intelligence: The ability to provide any and all knowledge workers with relevant, timely and actionable information based on their role. Business Intelligence is shifting beyond solely measurement and reporting to enabling intelligent actions and interactions, which requires information that is current, complete, and tailored to the individual's role. The user experience must be intuitive enough for any worker and provide full interactivity and self sufficiency without analyst or IT intervention.
- Guided Analytics: The ability to guide users on a "path to discovery and action," leading them through the analysis process to come to the best decision or action. This capability should operate in an agent-like manner, resulting in analytic workflows that automate the discovery-to-action process.
- Opportunity Detection and Notification: Given growing data volumes, there's a need not only to automate identification of problems and opportunities that might otherwise go undetected, but also to identify and notify the most appropriate individuals and provide the information needed to take action.
- Intelligence Anytime, Anywhere: The full range of analytic capabilities must be available to users anytime and anywhere, whether on the corporate network or intranet, connected to the Internet, or operating in a disconnected mode. Users must also be able to receive analytic alerts on mobile devices such as handheld devices, cell phones, pagers, fax, etc.
- Rich, Complete, Real-time Information: The solution must hide from users all complexity associated with the physical data, its location and structure, while also providing pervasive and actionable intelligence. This requires a high degree of analytic data access sophistication and high performance access optimized for very large data warehouses, complex schemas and a wide range of data sources. Additionally, many new analytic needs require access beyond the data warehouse to get real-time, complete and detailed information from operational sources and data stores. This must be done with a high degree of efficiency because organizations cannot afford to compromise performance.
- Analytic Depth: In order to have a "single version of the truth," all metrics must be computed in a consistent and reliable manner. A full range of analytic functionality is necessary to derive insight from data, including calculations and aggregations, analytic processing and dimensional calculations, date and time awareness, set based analysis, data mining and predictive analytics.
- Scalable, Mission-Critical Architecture: As business intelligence expands to many more users, in complex and heterogeneous environments with larger data volumes, new architectural approaches are required. Also, as these capabilities become more vital, they must provide levels of scalability, performance, reliability and availability expected of mission-critical systems.
- Rapid Deployment, Lowest TCO: These systems must offer easy administration, rapid deployment and time to solution, along with the flexibility to easily respond to changes in analytic needs and data sources. Large scale deployments must be possible without adding administrative complexity and large hardware expense. Low total cost of ownership is a critical requirement.
- Open Platform: The solution must be a true enterprise analytics platform, enabling integration with other key applications, leveraging significant data warehouse, data marts and data infrastructure investments, and fitting with enterprise architecture standards. It must also provide rich analytic functionality integrated with other tools and applications even in real time. Full support for Web Services and important standards is required.
The Siebel Enterprise Analytic Platform 7.7 includes Siebel Answers and Intelligence Dashboards, providing interactive access for end users; Siebel Delivers, providing analytic detection and notification; the Siebel Analytics Server, providing new levels of insight from enterprise data; and the new Siebel Data Mining products.
Siebel Intelligence Dashboards provides users with intuitive, interactive access to visually rich and actionable information that is dynamically personalized based on their role and identity. All information is live, not static, reflecting the latest data. These dashboards are fully flexible, enabling users to filter, drill-down, spot issues, explore and act. Through the new guided analytics capabilities, users can be led on a "path to discovery and action," so that any user can follow the proper next step in analyzing information to reach the best decision or action. Siebel Answers provides full ad hoc analytic functionality based on a pure Web architecture. End users interact with a logical view of information, organized to reflect how they think rather than how data is structured and stored. With just a few clicks, users can create their own analysis and display it in tables, charts, pivot tables and a myriad of highly visual formats. This ease- of-use empowers new classes of users with true self-service access to information and the ability to create new analysis, reports, charts and even full dashboards without requiring analyst or IT intervention. And with just a few clicks, anything created in Siebel Answers can be published in the user's personal dashboard or to shared dashboards for use by others.
Siebel Delivers enables users to create schedule- or event-based analytic processes to detect problems and opportunities. Once an opportunity is detected, the appropriate person(s) can be identified and notified via e-mail, cell phone, pager or fax, and provided with the information necessary to understand the issue and take action. Additionally, these processes can trigger other analytic processes, creating an automated analytic workflow. As a result, any user can be immediately made aware of problems and opportunities that might otherwise go undetected. With the 7.7 release, numerous new products and enhancements have been made to Siebel Delivers, Siebel Answers, and Siebel Intelligence Dashboards including:
- Usability improvements based on customer feedback and usability studies
- New levels of control over all visual formatting aspects and print control
- Tight integration with MS Excel, other applications and PDF output
- New chart types and new levels of control over all aspects of charts and graphs
- New guided analytics, which includes more sophisticated analytic workflow and alerts
- New mobile analytics products, providing a range of offline functionality from dashboard interaction to full ad hoc analytic capabilities
- Numerous new view and visualization types, and new Pivot table functionality
- Complete functionality exposed through new Web services APIs
The Siebel Analytics Server provides the most powerful business intelligence and analytic capabilities against even the largest and most complex data warehouses, while efficiently spanning data in analytical and operational data stores to provide more complete, timely and actionable insight. These unique capabilities enable entirely new classes of business intelligence solutions that can drive intelligent actions and interactions, even in real-time. Additionally, the Siebel Analytics Server has proven in real world customer implementations and benchmarks to provide the highest levels of performance and scalability at the lowest TCO. With this release, the Siebel Analytics Server now provides high performance predictive analytics in batches or real-time with the new Siebel Data Mining Engine.
Other new enhancements to the Siebel Analytics Server include:
- Native driver support and additional platform-specific optimizations for latest versions of IBM DB2, Oracle and MS SQL Server databases
- Support for multi-dimensional data sources including MS Analysis Services, and intention to support XML for Analysis API
- Enhanced usage tracking, multi-user administration and easy administration, including new analytic schema auto-detection and administration wizards
- Aggregate persistence and "write back" capabilities
- Fully integrated data mining engine option for Siebel Analytic Server, which includes an open data mining adapter for execution of other models (via PMML or callable API)
- New UNIX clustering and clustering enhancements for Windows 2000
- Continued improvements to best-in-class performance and scalability
New with this release is the Siebel Data Mining series of products. This includes the Siebel Data Mining Engine, which is fully integrated with the Siebel Analytic Server and provides high performance data mining model execution in a server environment, both in batches and real-time. The Siebel Data Mining Workbench provides the analyst with comprehensive data mining functionality and supports a wide range of proven data mining models, algorithms and techniques. It also provides "one button" deployment of models to the Siebel Analytics Server, enabling server side model execution in batch or real-time. Siebel Business Miner enables a business user to be led through a wizard process to either utilize models already created and deployed or to auto-select and create the most appropriate model. The Intelligent Interaction Manager enables live access to any data mining, predictive analytics or Siebel Analytics Server functionality to be seamlessly integrated into Siebel's market leading CRM products.
Siebel Analytics has achieved success with leading companies across a broad range of industries including AXA Financial; Blue Cross Blue Shield of Florida; BMW Financial Services; BT Plc; The Clorox Services Company; Baxter Healthcare Corp.; DaimlerChrysler; Fleet Boston Financial Corporation; Honeywell Aerospace; Royal Bank of Canada; Telecom Italia Mobile S.p.A.; Union Pacific Railroad Company; United Health Care; and Verizon Global Solutions.
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