Sql Server Business Intelligence

In today’s time, organizations are struggling to understand and analyze the huge amount of data available to them. To achieve their objectives and make better decisions, organizations need powerful business intelligence (BI) capabilities. Business intelligence (BI) is a broad category of application programs and technologies for gathering, storing, analyzing, and providing access to data from various data sources, thus providing enterprise users with reliable and timely information and analysis for improved decision making. Once an organization is powered with BI it can anticipate enhanced turnaround time on data collection, come up with fresh ideas for novel business initiatives, foresee accurate picture of customer needs and demands, and perform more targeted marketing campaigns.

SQL Server helps you deliver Business Intelligence across your organization and provides a rich set of platform capabilities to ensure credible, consistent data and support today’s analysis, data warehousing, and Big Data needs.

Microsoft SQL Server 2012 helps organizations achieve their objectives and make better decisions by. An overview of the new key BI features in SQL Server 2012 are:

Sql Server Business Intelligence

• Providing a complete spectrum of BI capabilities and Enterprise Information Management (EIM) technologies.
• Helping to unlock breakthrough insights by allowing users to visualize and rapidly explore data with the new ad-hoc query capability in Power View (formerly known as Project Crescent) and new capabilities in PowerPivot.
• Making it easier for users to gain insight from data across the organization with enhanced reporting and analysis capabilities.
• Providing users with accessible intelligence across the organization through managed self-service BI, dashboards and scorecards, and the collaboration capabilities of Microsoft SharePoint^®; and providing IT with dashboards to manage and monitor usage and meet business requirements.
• Empowering users to explore and resolve problems with data and streamline existing data management processes using familiar tools to improve the overall credibility and value of organizational information.