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SAP's Business Warehouse (BW) is a software product or application created by the multinational software corporation SAP. Its purpose is to collect, store, and organize data from various sources within an organization. BW helps in the collection of data, the transformation of data into a structured format, and the provision of tools for reporting, data analysis, and decision support. Businesses frequently use this data warehousing solution to improve their data management and reporting capabilities, particularly if they use SAP's ERP (Enterprise Resource Planning) system.
SAP Business Warehouse is a data warehousing solution provided by SAP. It allows organizations to integrate, transform, and consolidate business information from various data sources, including productive SAP applications and external systems. SAP BW provides a high-performance infrastructure that enables users to evaluate and interpret data, helping decision-makers make well-informed decisions and identify target-oriented activities.
SAP BW is a packaged data warehouse solution that delivers real-time analytics in a single logical view. It can be deployed both on-premise and in the cloud and integrates with both SAP and non-SAP applications SAP BW/4HANA allows for the integration of new types and sources of data, such as social and customer behavior data, sensor data, and machine learning insights.
SAP BW is based on SAP HANA, the in-memory database platform, and is designed to provide a simplified data warehouse with agile and flexible data modeling capabilities. It preserves the core functionality of SAP BW while optimizing processes and user interfaces for SAP HANA
Business intelligence (BI) is a set of technologies, processes, tools, and strategies that enable organizations to collect, analyze, and present business information to support decision-making. BI includes a wide range of activities, such as data collection, data transformation, data modeling, and data visualization. Its goal is to provide insights into an organization's performance, help in making informed decisions, and identify areas for growth and improvement. BI systems frequently use data from multiple sources to generate actionable information, typically via reports, dashboards, and data analysis.
Data warehouses and business intelligence (BI) are necessary for organizations to make sense of their data and derive insights that can drive better decisions. Here are some reasons why we need data warehouses and BI:
1.Centralized and organized data: Organizations generate huge amounts of data, which can be difficult to understand, analyze, and utilize without a data warehouse. A data warehouse offers a centralized and organized location to store and access data, making it easier to manage and utilize.
2.Integrated and accurate data: Data warehouses integrate and consolidate data from multiple sources, providing a single version of truth. By streamlining data and eliminating inconsistencies and discrepancies, data warehouses offer more accurate and reliable data for analysis and decision-making.
3.Improved decision-making: Business intelligence tools offer advanced analytics and reporting capabilities, enabling organizations to analyse data and uncover insights that were previously hidden or difficult to discover. BI tools can identify patterns, trends, and relationships in data that businesses can use to drive better decision-making.
4.Competitive advantage: By implementing a data warehouse and BI tools, organizations can gain a significant advantage over their competitors. Organizations can use real-time data to optimize operations, improve customer experience, and drive revenue growth.
The platform's scalability, flexibility, and ability to handle large volumes of data make SAP BI BW an invaluable asset for organizations looking to harness the power of data to stay competitive and agile in today's dynamic business landscape.
1.Data Warehousing: BW-BI allows you to systematically store and manage large amounts of structured and unstructured data. This information can be collected from various systems and paired for analysis and reporting.
2.Data Extraction: It can extract data from a variety of sources, including SAP and non-SAP systems. You can extract data using standard researchers or generate custom extractors to meet your specific requirements.
3.Data Transformation: ETL (Extract, Transform, and Load) methods can be used to transform and clean data that has been taken from source systems. By doing this, the data for reporting and analysis will continue to be correct and consistent.
4.Data Modeling: You can define and design a variety of data structures, including info objects, info cubes, data store objects, and more, using the extensive data modeling environment that BW-BI offers. These structures make it simpler to store and access data efficiently.
5.Data Loading: There are several ways to load data into BW-BI, such as batch loads, real-time data acquisition, and delta mechanisms, which maintain data accuracy.
6.Reporting and Analysis: BW-BI provides several tools for reporting and analysis, such as Business Explorer (BEx), SAP Business Objects, and more. To obtain insights from the data, users can generate interactive reports, dashboards, and custom queries.
7.Data Security: To manage access to data, protect data privacy, and provide conformity to regulations, BW-BI offers strong data security features.
8.Data Integration: It facilitates the easy integration of data from multiple sources into your analytical processes by supporting data integration with a range of SAP and non-SAP applications.
9.Data Governance: By providing accuracy and consistency, BW-BI's master data management and data quality features enable data governance.
10.Data Lifecycle Management: To effectively manage the growth of your data warehouse, you can set up data archiving and retention policies.
11.Mobility and Self-Service BI: Users can generate their reports and visualizations using self-service BI tools, and they can view BW-BI dashboards and reports on mobile devices.
12.Predictive Analytics: Advanced forecasting and data mining are made possible with integration with predictive analytics tools.
13.Integration with SAP HANA: For quick, in-memory data processing and analysis, BW-BI can be combined with SAP HANA.
14.Multi-Dimensional Analysis: It promotes multi-dimensional analysis using OLAP (online analytical processing), allowing for complex data drill-downs and queries.
15.Data Export: For external sharing and distribution, you can export data in several formats, such as Excel, PDF, and more.
SAP BI-BW is a powerful data warehousing and business intelligence platform that enables businesses to organize and optimize their data for better reporting and decision-making. Businesses frequently use it to acquire insights, increase productivity, and ensure data security. SAP BI BW wants to make installing business intelligence (BI) solutions easier within the SAP Business Warehouse (BW) system.
The average salary for SAP BI BW consultants range between $589,000 - $649,500.(Source: payscale.com)
SAP BI BW Generates upto 20,000 - 65,000 jobs every year. (Source : indeed.com)
SAP leads the worldwide ERP market with market share in between 22% – 24.6% (Source: Forbes)
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