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Implementing a BI solution is more than simply applying technology to achieve a particular business objective or to address a problem. Building cost-effective, reliable and secure BI solutions that help you meet your business priorities requires a team of technical experts with broad industry experience, who understand your business.
Ness-Gilon's consulting team of highly skilled professionals is focused on helping organizations maximize the value from their BI investments. We provide you with the tools, expertise and experience to plan and build the best Business Intelligence that will help you achieve your business goals in the most efficient, cost effective way.
Ness-Gilon provides consulting services in the following areas:
BI Review - Business Discovery
Review and analysis of the enterprise business information requirements and the optimized BI implementation to meet these requirements in the most efficient and cost effective way. The BI review includes four main aspects: Business, Data model, Technology and working processes.
EIM Master Plan
Predefined best practice business areas (the information, operational and analytics that support the organization's business needs) and specifying how to implement them depending on the current data assets and processes which exist in the organization. Business areas to focus on are: CDI - customer data integration and PMI - product management information.
Enterprise Performance Management
Guiding the process through a proven methodology of specifying the organization's objectives and defining key metrics to measure performance in an organizational unit level.
Building an organizational value map by mapping the relationships between the success factors and the business processes.
Defining strategic and operational KPIs based on best practices per industry: Management/Finance, Service, Growth, Customer.
Financial & Customer Analytics
Financial Analytics- Defining business methodology and advanced financial models. Implementation of BI solutions to address these models such as:
- Budget planning and control
- Activity based costing
- Cost centers management
- Customer/channel/product profitability management
- Financial KPIs analysis and data exploration
Customer Analytics - Identify the appropriate enables for CI in the organization. Specify integrated and holistic view of the customer and his/her behaviour as a consumer. Guidance for evaluation, implementation and execution of a central multi-channel, multi-type campaign management system. Defining a data mining environment for marketing activities support such as: customer value, up/corss selling, NBO, propensity to churn, segmentation, response to campaign probability etc.
BI Competency Center (BICC)
For improving ROI of BI efforts in big enterprises. Ness-Gilon builds and coaches the organizational unit which leads the BI investment and deployment by providing processes, tools, definition and guidance in implementation. Methodologies for reports etc.
Data Architecture
Building a full concept of a business language definition, management and deployment (meta data, BI portal). Defining the processes and tolls that will ensure the reliability, consistency and completeness of data (DQM, cleansing, data enrichment, etc.)
Risk Management
For regulation compliancy and improved capital allocation.
Ness-Gilon defines, plans and implement Basel II projects based on a unified platform. Specifying the sources and the data model that are needed for building and executing credit risk models (PD, LGD, EAD).
Project Guidelines
For effective and efficient implementation, leveraging the BI value for improved business performance. This is achieved by advising and guiding BI projects while addressing all aspects: business models, architecture, tool and applications, data models. Being a trusted advisor of the BI program for definition of: budget, roadmap, presenting and exposing the benefits of the BI to management and ensuring effective implementation process.
Right Time BI
Update and integration of information in the RT, while incorporating rules and business logic in such a way that will allow for:
- Integration between historical and current data
- Event analysis, action in proximity to event
- Quick/immediate response to events
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