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Business process management (BPM) defines, enables, and manages the exchange of enterprise information through the semantics of a business process view, which involves employees, customers, part...
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In-Memory Databases/In-Memory Analytics
The appeal of in-memory technology is growing as organizations face the challenges of handling and utilizing big data. There are compelling technical advantages
Memory Databases/In-Memory Analytics The appeal of in-memory technology is growing as organizations face the challenges of handling and utilizing big data. There are compelling technical advantages to having an in-memory database, but the business benefits can be far-reaching, as the knowledge gained from analytics means that a data-driven business can closely engage with and anticipate the needs of customers and markets. This paper provides a look at the benefits of in-memory technology for dealing
Supply Chain Network Visibility and Analytics
The complexity of the global economy is a powerful motivation for companies to look for new ways to increase efficiency and productivity. That’s why companies
| Analytics Benefit | Analytics Benefits | Benefits of Supply Chain Management | Business Inventory | Business Visibility | Create Supply Chain Architecture | Create Supply Chain Business Process | Create Supply Chain Modeling | Create Supply Chain Module | Creating Supply Chain Business Process | Customer Inventory | Definition of Supply Chain Management | Demand Chain | Demand Chain Management | Demand Management | Demand Optimization | Demand Planning | Demand Supply Chain Management | Distribution |
TDWI Checklist Report: Analytic Databases for Big Data
Many organizations in today''s “big data” world are contemplating a replacement of their analytic databases and data warehouses to keep pace with new
trend away from practicing analytics with relational DBMSs that were originally designed for OLTP and towards analytic databases that provide computing architectures designed for complex queries, analytic algorithms, high performance, and terabyte-size scalability. This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data, and defines the many techniques and tool types involved.
Predictive Analytics; the Future of Business Intelligence
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive
products and services. Predictive Analytics and Data Mining The future of data mining lies in predictive analytics. However, the terms data mining and data extraction are often confused with each other in the market. Data mining is more than data extraction It is the extraction of hidden predictive information from large databases or data warehouses. Data mining, also known as knowledge-discovery in databases, is the practice of automatically searching large stores of data for patterns. To do this, data
Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be
data processing performance. While analytics and BI make good use of in-memory database systems (IMDSs), IMDSs were not developed for this purpose. Database systems such as eX treme DB , VoltDB , solidDB by IBM , TimesTen by Oracle , and HANA by SAP are multipurpose in-memory databases created specifically to allow the running applications to achieve fast response times . As such, these systems have the potential to change the way organizations process and distinguish between transactional (operational)
Create an Intelligent Analytics Strategy for Your Organization
A good business analytics strategy can pay off. Learn how to grow and transform your organization with analytics and business intelligence (BI) in this
an Intelligent Analytics Strategy for Your Organization A good business analytics strategy can pay off. Learn how to grow and transform your organization with analytics and business intelligence (BI) in this newsletter, featuring new research from Gartner.
How to Deal with the Top 5 Challenges of Web Analytics
Web analytics has never been an exact science—which can make the process extremely frustrating. How can you be 100 percent certain that the data you’re working
5 Challenges of Web Analytics Web analytics has never been an exact science—which can make the process extremely frustrating. How can you be 100 percent certain that the data you’re working with is always accurate? To deal with this and many other questions that will arise, businesses must gain a better understanding of how well their analytics tools work with their existing data integration solutions, and how using testing platforms will help.
Workforce Analytics: Key to Aligning People Business Strategy
This research brief examines the use of workforce analytics tools as well as the way best-in-class organizations align workforce strategies with business
the use of workforce analytics tools as well as the way best-in-class organizations align workforce strategies with business objectives. It looks at existing technologies and makes recommendations to enable organizations to address workforce optimization, talent plans, and human resources (HR) service delivery. Read it and discover how your company can achieve best-in-class performance.
International Institute for Analytics
The International Institute for Analytics (IIA) provides advisory services, annual research subscriptions, analytics research councils, and executive
Institute for Analytics The International Institute for Analytics (IIA) provides advisory services, annual research subscriptions, analytics research councils, and executive roundtables.
The Power of Analytics Maturity: Achieve Better Business Outcomes by Raising Your Analytics Quotient
Read about the technologies in IBM''s comprehensive, unified business analytics system and how they work together to help organizations grow in analytics
Power of Analytics Maturity: Achieve Better Business Outcomes by Raising Your Analytics Quotient Read about the technologies in IBM''s comprehensive, unified business analytics system and how they work together to help organizations grow in analytics maturity—that is, their ability to use analytics to improve business outcomes.
Analytics Software Suite
The complete suite of Angoss desktop and client-server software products @ with big data and text analytics capabilities @ delivers recommendations for
big data and text analytics capabilities – delivers recommendations for actionable and effective sales-driven and risk mitigation business decisions.
Search Engines Used to Attack Databases
Hackers have recently started to use search engines to find web-facing database interfaces that can be used to mount attacks on databases placed behind a
Engines Used to Attack Databases Hackers have recently started to use search engines to find web-facing database interfaces that can be used to mount attacks on databases placed behind a firewall. This is a significant new development, completely exposing previously “protected” databases to outside attack. In fact, an attacker can data mine any of the commonly used search engines to find target databases to attack.
From Text to Business Insight: All about Enterprise Text Analytics
Text analytics automates the extraction of business value from Web sites and social media content, from e-mail and survey responses, to regulatory filings and
All about Enterprise Text Analytics Text analytics automates the extraction of business value from Web sites and social media content, from e-mail and survey responses, to regulatory filings and corporate documents. These sources and others capture information from and about customers, prospects, products, companies, and competitors in human readable form. Download this white paper for a handy guide to understanding—and profiting from—enterprise text analytics.
Accelerating Time to Insight for Midsize Companies Using In-memory Analytics
In-memory analytics provides midsize companies with a faster, more flexible, and arguably lower-cost way of accessing and processing information, allowing users
Midsize Companies Using In-memory Analytics In-memory analytics provides midsize companies with a faster, more flexible, and arguably lower-cost way of accessing and processing information, allowing users to get answers to business questions in seconds rather than hours. By virtue of its high-performance architecture, in-memory has the potential to help midsize organizations become more informed, and respond quicker to changing market conditions. Find out more.
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