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he context of ERP, business intelligence technologies are useful in providing, historical, current and predictive views of business operations specifically “online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, and predictive analytics (Wikimedia Foundations, Inc. ).
Through business intelligence, companies would be able to determine trends and conditions of customer behavior so tha it can plan well on logistics, production and distribution. For example, BI technologies enable a company to note the preferences of the customer as to distribution channels. Through this, the former can make the best decision in reaching its current and potential customers. Most importantly, business intelligence allows companies to take note of any change in the behavior and preferences of customers and enables them to adjust accordingly.
3. The SAS® for Spare Parts Optimization solution helps aerospace and defense companies optimize their supply chain and maintenance operations so they reduce costs while sustaining a high level of service
5. SAS® Telecommunications Intelligence Solutions give you the insight you need to effectively implement business strategies, retain and nurture customer relationships, and maximize profits.This family of flexible, extensible solutions includes prebuilt, telecommunications-specific data and analytical models, as well as streamlined processes and techniques that speed up both implementation and results, giving you a fast track to significant ROI.
2. Manage risk and compliance more effectively by efficiently managing multiple reporting and consolidation standards such as IAS and U.S.-based GAAP, inter-company elimination and reconciliation, multicurrency translation, complex ownership calculations and financial consolidation rules
4. Reduce costs and increase efficiency by creating a self-service reporting platform that reduces the demand on IT while enabling insurers to make more
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Customer Relationship Management Abstract In the today’s era of technological, scientific, and industrial boom, organizations are now surging ahead and transmitting its data about their customers, sales activities, marketing techniques, and other practices from manual to automated systems that integrate and interlink the inter-departmental processes with each other on a single platform.
Where, Data: Is a mere collection of raw figures and facts. For example, a company’s daily inventory records etc. Information: The data is made meaningful by the performance of organization and analysis on it. Knowledge: Experience, Analysis, Context and reflections combines together with information produce a resultant that is termed as knowledge.
The author analyzes the activity of a sports retail company Solent Sport’s. However, as with most firms that have experienced growth and achieved a level of stasis, many cultural and technological carryovers from the past have clung with it. Solent Sport struggles to evolve into the future due to the constrains of the past.
This enables the company to maintain the customers and gain a competitive edge against its major competitors in the market. Maintaining a good relationship with customers requires a company to practice customer-focused activities effectively. For instance; a good customer service, improved quality and reduced prices of products enables a company to attract new customers and retain the current customers.
Hence, a flexible business and marketing strategy is essential for every business houses (Pride and Ferrell, 2012). In the similar way, the business environment of UK is somewhat uncertain and as a result of that companies are required to formulate strategies in a manner that fits with the nature of the environment.
CRMs create focus on businesses and customers. The main intent and purpose is to find new clients, retain the existing clients and regain former clients.
All types of CRM systems aim for a common goal of making
omatic analysis of huge quantities of data as well as extracting earlier unknown but interesting patterns, for example, groups of data, extraordinary records and dependencies. The tasks normally involve the use of specialized database techniques such as spatial indexes (Ling Liu
nd it is important for an organization to have a customer relationship management system as it helps in managing the interaction between the firm and its clients whether it is sales or related to services the firm provides. The customer management system plays a crucial role in
of business enterprises and co relationship between the client and service provider has changed remarkably towards positive side of the relationship.
Increase the data and computational power serves towards the benefits of the organization. The data availability allows for
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