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Main fields of application
Company processes control
and analyses
- Sales analysis by product type, regions, time,
objects, customer groups
- Prime cost and profit analysis – relative profit comparison
for different product types
- Capacity management – analyzing the factors which affect
organization capacity using, with the purpose of optimal utilization.
- Warehouse management – warehouse structure analysis according
to article type, warehouses, storage period, unsold stock etc.
- Faults – fault type analyses, frequency, cause
- Turnover in the company – analyses by branch, department,
profession, education level, gender, age and time
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Marketing and
customers relationship
- Marketing – analyzing the effectiveness of different
marketing activities, promotions, advertising
- Customer relationship management (CRM) – customer
behavior analysis, groups of customers creation, building of understandable
customer model, customer satisfaction analysis
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Accounting and
financial reporting
- Salaries – salary expenses analysis, expenses comparison
by specialties, branches, people, salary changes
- Funds movement – turnover analysis according to business
operations, partners, currency and time with the purpose of optimization
- Budgeting – revenues and costs analysis, costs
comparison by certain items according to different partitions, analysis
of costs dynamics and tendencies according to certain items, prime cost
analysis
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Telecommunications
– customers churn decrease and customer value increase, customers involving,
pricing policy, failure analysis |
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Banking and Insurance
– customers loyalty analysis, credit risk analysis, customers attracting
and keeping |
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Statistics and demography
– sociological polls results analysis, elections, census, migration |
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Transport – transportation
amounts analysis by season, direction, class, goods, types; stop analysis
by causes, customers, performers, goods type |
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Medicine –
patient analysis, patient groups creation; analysis of risk factors of given
disease
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Applying technology
Collected data is cleansed and kept in data warehouse.
Multidimensional cube (OLAP cube) is created on the basis of the collected
data
The cube is analyzed by BI2M.
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