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Published By: SAP     Published Date: Nov 22, 2011
When the economy slows, many businesses react by retrenching and cutting costs. While cost reduction is important, companies often overlook equally critical strategic decisions-opportunities to use business information to strengthen product and service offerings and emerge ahead of the competition. Find out how you can use business intelligence (BI) to avoid the most common mistakes companies make in a down economy.
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sap, technology, decision making strategies, information management, businessobjects, customers
    
SAP
Published By: SAS     Published Date: Mar 06, 2018
With decisions riding on the timeliness and quality of analytics, business stakeholders are less patient with delays in the development of new applications that provide reports, analysis, and access to diverse data itself. Executives, managers, and frontline personnel fear that decisions based on old and incomplete data or formulated using slow, outmoded, and limited reporting functionality will be bad decisions. A deficient information supply chain hinders quick responses to shifting situations and increases exposure to financial and regulatory risk—putting a business at a competitive disadvantage. Stakeholders are demanding better access to data, faster development of business intelligence (BI) and analytics applications, and agile solutions in sync with requirements.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
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SAS
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
Published By: SAS     Published Date: Apr 04, 2018
Location analytics is the process of integrating geographical data into business intelligence (BI) and analytics-led decision making. Location analytics creates meaningful insight from relationships found in geospatial data to solve a broad variety of business and social problems. Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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SAS
Published By: Gleanster Research     Published Date: Nov 10, 2011
This Gleansight benchmark report is based on the experiences of 229 companies and includes the following sections: Reasons to Implement, Challenges, Value Drivers, Core Technologies and Success Story. It also includes a Vendor Landscape with descriptions and analysis of 32 solution providers. Most organizations today have business intelligence (BI) tools or at least some way of churning out reports. Fewer have a true business intelligence strategy or a well-architected BI platform for generating actionable insights. Broadly considered, BI encompasses all aspects of gathering, storing, cleansing, analyzing and distributing data. This Gleansight benchmark report reveals how Top Performers are justifying their investments in next-generation BI capabilities, how they're overcoming implementation and organizational hurdles, and how, as a result of their investments, they're now able to make more timely and better informed business decisions across multiple organizational functions.
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gleanster, business, benchmark, business intelligence, roi
    
Gleanster Research
Published By: SAP     Published Date: Aug 24, 2010
Communicate to line-of-business managers how they can deliver the right information at the right time to support better, faster decisions, and thus ensure long-term company success.
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sap sme, it managers, chief information officer, cio, project management, business operation, service-oriented architecture, soa
    
SAP
Published By: SAP     Published Date: Aug 24, 2010
To be successful, operations requires integrated business management methodologies and systems that assist in making better, faster decisions and provide visibility into key performance drivers, such as employee productivity, asset utilization, and project profitability.
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sap sme, operation management, decision making, ceo, chief executive officer, integrated business management, productivity, business performance
    
SAP
Published By: SAS     Published Date: Mar 01, 2012
Michael Lock of the Aberdeen Group focuses on the effect of end user adoption, pervasiveness, and engagement of business intelligence on business performance. Learn the necessary steps to establishing self-service business analytics.
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SAS
Published By: SAS     Published Date: Sep 13, 2013
Embedding Analytics into Real-Time Business Decisions, Operations and Processes
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sas, embedding analytics, effective decision management system, batch-type environments, sensor data
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
Managing expectations before, during and after the adoption of visualization software is crucial. Users should know what the rollout process will look like and how it will take place, and have clear goals for using the tool. Make sure that the desired outcome isn’t just look-and-feel. Creating beautiful charts and graphs is not a substitute for practical business decisions.
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sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published By: Taleo     Published Date: Jan 25, 2012
This installment is on hiring and onboarding challenges, focusing on how talent intelligence helps business leaders to find better candidates faster; make better build, buy, or rent decisions; decrease new hire time-to-proficiency; and decrease the number of new hires who quickly leave.
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taleo, hiring, human resources, talent, employees, talent acquisition
    
Taleo
Published By: Taleo     Published Date: Mar 30, 2012
The report reveals the companies that best satisfy the demands of their leaders are those that place heightened importance on and provide greater visibility into workforce data, delivered in a way that empowers managers to make more informed, rapid business decisions.
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employee wellness, corporate wellness, human capital management, wellness strategy, employee engagement, human resources, human resource management, talent management
    
Taleo
Published By: Zuberance     Published Date: Oct 11, 2010
Marketers are spending money in all the wrong places. A recent Harvard Business Review article highlights the need for marketers to shift their focus from paid media spend to driving Advocacy in order to align with the changing nature of consumer engagement and purchase decisions.
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zuberance, roi, paid media, rich media, advocacy, wom, impressions, sales value
    
Zuberance
Published By: Cisco     Published Date: Sep 08, 2016
This white paper provides a step by step guide on making better business decisions.
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Cisco
Published By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
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visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence
    
Datawatch
Published By: HP     Published Date: Jul 22, 2014
If you’re looking to make a primary storage investment in the near future, you can’t afford to not consider an all-flash array. HP 3PAR StoreServ Storage was built to make your IT investments go farther and protect them for longer without asking you to sacrifice performance or scalability. That’s why the HP 3PAR StoreServ 7450 is the only all-flash array on the market that is flash-optimized without being flash-limited—so you won’t have to make business limiting decisions when it comes to implementing your new all-flash array.
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3par, storeserv, storage, invest, array, all-flash
    
HP
Published By: IBM     Published Date: Apr 16, 2014
Speed, simplicity and affordability: 3 capabilities businesses need from their warehousing environment. IBM DB2 with BLU Acceleration gives organizations a complete, multipurpose environment to rapidly distill insight from their data, make timely decisions and capitalize on opportunities
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ibm, data warehouse, warehouse environment, speed, simplicity, affordibility, db2 with blu, acceleration
    
IBM
Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
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ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth
    
IBM
Published By: IBM     Published Date: Jan 20, 2016
Workforce analytics can challenge conventional wisdom, influence behavior, and enable HR and business leaders to make smarter decisions that impact business outcomes.
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ibm, analytics, workforce, workforce analytics
    
IBM
Published By: IBM     Published Date: Jan 16, 2015
Read this IBM white paper to find out how B2B Services Reporting and Analytics provide new insights into your trading partner relationships and to drive better, more profitable business decisions.
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ibm, b2b services reporting, b2b services analytics, trading partner relationships, business decision making, b2b transactions, transactional data
    
IBM
Published By: IBM     Published Date: Feb 11, 2015
IBM® Operational Decision Manager Advanced brings together data from different sources to recognize meaningful trends and patterns. It empowers business users to define, manage and automate repeatable operational decisions. As a result, organizations can create and shape customer-centric business moments.
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ibm, customer-centric business, operational manager, decision manager, business policies
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, ibm, big data outcomes, information governance, big data analytics
    
IBM
Published By: IBM     Published Date: Oct 14, 2015
Welcome to “How to put IBM Watson to work for powerful information access and insights,” where we’ll show you how Watson and its Watson Explorer application can get down to business and help your organization be more effective, more productive, and make better-informed decisions.
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ibm, watson, application, powerful information
    
IBM
Published By: IBM     Published Date: Feb 26, 2016
Welcome to “How to put IBM Watson to work for powerful information access and insights,” where we’ll show you how Watson and its Watson Explorer application can get down to business and help your organization be more effective, more productive, and make better-informed decisions.
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ibm, watson explorer, analytics, data, enterprise software
    
IBM
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