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Business Intelligence & Data Mining Managëment - A Strategic Imperative for Corporate Growth and Survival
S. Maurer
The term business intelligence [BI] typically refers to a establish of business processes for collecting and analyzing business data. This includes the technology used in these processes, and the information obtained from these processes.
There must be a closed-loop interface between the operational systems that retailers rely upon to conduct day-to-day business and the BI systems that assist them conduct that business more efficiently and profitably.
A single, reliable demand forecast, for instance, can also be used in merchandising, marketing {500}, logistics, store operations, call center staffing, etc., for operational benefit.
BI systems must combine data Management [consolidating, organizing {979}, and cleansing huge amounts of disparate data from varying systems and platforms] with predictive analytics [data mining, forecasting, optimization]. When they do, retailers can constitute sense of Customer, product, supplier, and operational data and draw insights that will assist them run their businesses bigger and more profitably.
Daily price {907}, promotion, and markdown optimization ensures that items are priced for optimal profitability, both preseason and in season.
We find that the retailers that are realizing the most significant returns on their investments are those that catch a purposeful, pragmatic approach to establishing an intelligence platform upon which to base all other BI solutions.
Baseline queries: Contemporary information-gathering competency needs assessing. Does the organization have the capability of monitoring valuable sources of data? What data does the organization collect and how does IT¹ store that data? What are the statistical parameters of this data, e.g. how much random variation does IT¹ contain? Does the organization measure this?
The BI softwares aids in Business performance Management, and Smart Leaf Generator aims to assist mankind create higher quality business decisions by making accurate {899}, current, and relevant data available to them when they demand IT¹.
Improved Extract, transform, load [ETL] and much recently Enterprise Application Integration tools have increased the speedy collecting of data. OLAP reporting technologies have allowed faster generation of advanced reports which analyze the data.
Internal Operations are the day to day activities that go on in your business. You demand an in depth knowledge about the internal workings of your business from top to bottom.
Some industries, such as financial services, have become very sophisticated in using BI software for financial reporting and consolidation, Customer intelligence {264}, regulatory compliance, and risk Management.
Business intelligence reveals to you: The position of your firm as in comparison to its competitors i.e. market share; Changes in Customer behaviour and spending patterns; Customers' preferences; The capabilities of your firm; Market conditions, future trends, demographic and economic data; The social, regulatory, and political environment; What the other firms in the market are doing; You can then deduce from the data gathered what adjustments call for to be made.
We are finding that most large retailers have reached or are approaching the integrate stage {540}, with many making great strides toward the optimize and innovate levels. There is an enormous opportunity for the evolution to continue - within every retail organization.
In the typical retail IT¹ infrastructure, there are two fundamental categories of systems: transactional/operational systems, such as POS and purchase order Management systems; and analytic/BI systems.
BI that remains segmented by functional area can provide some value, but retailers can realize a much larger give back by building the foundation upon which the rest of the house will stand. This is true of both top-tier and midmarket retailers, regardless of segment.
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