Business Intelligence (BI) Solutions
Business intelligence (BI) solutions are designed to allow companies to easily turn the volumes of data they collect and store into meaningful information – to best manage their operations.
Domain Expertise
In today’s challenging marketplace, it is pivotal that decision-makers throughout an organization have access to relevant, accurate and timely reports regarding their operations.
| Manufacturing |
Retail |
Distribution |
Architecture |
Aviation |
| Transport |
Pharmaceuticals |
IT |
Iron and Steel |
Energy |
Solution Grid
Our domain expertise is backed with a strong technical expertise.
The BI technology stack is designed to highlight the different layers of technology that will be affected by a BI project, all the way from the hardware hosting your data at the bottom of the stack to the portal product used to present information to users at the top. Starting from the bottom, this even-layer stack includes:
Storage and computing hardware. To implement BI, firms will need to invest or upgrade their data storage infrastructure. This includes Storage Area Networks (SAN), Network Attached Storage (NAS), Hierarchical Storage Management (HSM), and silo-style tape libraries. The trend over the next five years is for storage resources to be amalgamated into a single, policy-managed, enterprise-wide storage pool.
Applications and data sources. To develop an effective BI solution, source data will need to be scrubbed and organized. The challenge is that source data can come from any number of applications, most using proprietary data formats and application-specific data structures. Customer Relationship Management (CRM), Supply Chain Management (SCM), and Enterprise Resource Planning (ERP) systems, and other applications are the common sources of data. The trend over the next five years will be for applications to standardize the data format using eXtensible Markup Language (XML) schema and leverage BI specific standards like XML for Analysis.
Data integration. Middleware allows different systems supporting different communication protocols, interfaces, object models, and data formats to communicate. Firms will need to invest in these "connectors" to allow data from source applications to be integrated with the BI repository. Extraction, transformation and loading (ETL) tools pull data from multiple sources, and load the data into a data warehouse. Again, the trend in data integration and Enterprise Application Integration, in general, is toward standardization through XML and web services.
Relational databases and data warehouses. Firms will need a data warehouse to store and organize tactical or historical information in a relational database. Organizing data in this way allows the user to extract and assemble specific data elements from a complete dataset to perform a variety of analyses.
OLAP applications and analytic engines. Online analytic processing (OLAP) applications provide a layer of separation between the storage repository and the end user's analytic application of choice. Its role is to perform special analytical functions that require high-performance processing power and more specialized analytical skills.
Analytic applications. Analytic applications are the programs used to run queries against the data to perform either "slide-and-dice" analysis of historical data or more predictive analyses, often referred to as "drill-down" analysis. For example, a customer intelligence application might enable a historical analysis of customer orders and payment history. Alternatively, users could drill down to understand how changing a price might affect future sales in a specific region.
Information presentation and delivery products. The results of a query can be returned to the user in a variety of ways. Many tools provide presentation through the analytic application itself and offer dashboard formats to aggregate multiple queries. Also, enterprises can purchase packaged or custom reporting products, such as Crystal Reports. An important trend in BI presentation is leveraging XML to deliver analyses through a portal or any other Internet-enabled interface, such as a personal digital assistant (PDA).
We Provide
- Advanced Analytics
- Self Service Reporting
- End User Analysis
- Business Performance Management
- Operational Analytics
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