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Decentrix standards use industry best of breed products with an open architecture that can be installed and managed within an organizations IT department.
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Classic Open Data Warehouse
with advanced data "Star" Schemas.
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Industry standards for data analysis utilizing
XMLA (XML for analysis).
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Supports Portal technologies with familiar Intranet Access.
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Integrates with Existing Systems using
Flexible Component interfaces with ETL.
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Media/Advertising Data Warehouse |
Decentrix provides the mechanism to extract and transform these media/advertising/web data sources in a uniform repository that can be effectively analyzed. The warehouse can be:
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Loaded from Disparate sources. These sources may include
Sales, Accounting, Inventory and third party Industry data etc.
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Unified by Shared Dimensions such as
Customers, Programming, Content, Products, Sales etc.
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Remain Flexible for Proprietary data to be able to add unique relevant data sources to the mix.
Decentrix provides in the Media modules the relevant KPIs that are commonly used or desired in the Media/Advertising space. The architecture supports a common management and monitoring language and source of analysis across a diverse enterprise.
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Common terminology (e.g. Average Rate) that is consistent across the Portal, Excel, PowerPoint, etc, all with the the same agreed formulae for all
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Common Performance Indicators that are available for all analysis levels and unify Corporate Goals.
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Common Data Source for all analysis from a common data source.
Decentrix responsive implementation of Business Intelligence ensures executives have access to immediate analysis of the data. In addition, with real-time data sourcing (such as web logs or automation as-run), the BIAnalytix architecture flows the real-time data through the ETL to the data warehouse and then incrementally through the updated OLAP cubes to refresh the portal analysis views in real-time.
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Allows fast Investigative Analysis that displays cumulative results immediately. Permits users to Drill and Filter to find the causal dimension with the ability to change analysis dimensions on screen.
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Supports real-time data sourcing through portal updates which increment the data warehouse and updates the cubes and refreshes the portal views.
Decentrix's approach to analysis emphasizes simplicity of use.
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Familiar tools that include
Excel Pivot Table drag and drop.
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Predefined Named Calculations that allows selecting existing named calculations and encapsulates powerful relationships.
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Presentation is predefined.
Dimension formatting pre-established and presentable results are available immediately from drag and drop.
A universal intranet provides a Portal to access the data in detailed and summary form across the organization. Supporting personell and departmental customization of the relevant business views.
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Secure Access through SharePoint Services and Active Directory.
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Purpose built for department/division services where only access to the views relevant to the individuals job/role
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Common browser user interface that is used for all intranet data dissemination
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Supports personalized Dashboards with summary graphical business presentation
A primary objective of BIAnalytix is to provide readily accessible forecasting to the executive team including:
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Forecasting Calculated Measures
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Simple to add to analysis with Multiple Methodologies supported such as
Past Pacing Forecasting,
Remaining Inventory & Average rate Forecasting and
Past Trend Forecasting, etc.
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Advanced warning of issues that encompass exception analysis using forecasts for oversell, revenue shortfalls, etc.
A key to future revenue growth is the ability to look at all components of the business trends and maximize the potential revenue outcome. A BIAnalytix BI solution provides the detailed historical data and the forecasting tools for yield management analysis to recommend optimum pricing. This allows:
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Forecasting of Revenue and supports Price/Demand Derivation
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Integration of Audience Delivery and provides Revenue Forecasts as a function of Rate changes
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Revenue Maximization by Rate optimization
Robust tools and secure data environments support strong auditing processes.
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Supports Sarbanes Oxley Auditing since it secures the original source transactions
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Maintains the Data Warehouse in a secure and separate environment
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The Data Warehouse only adds transactions and all history is retained
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All business metrics are supported by source transactions in the Warehouse
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User analysis only pulls from the Data Cubes not the raw data
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