business analytics

Results 251 - 275 of 945Sort Results By: Published Date | Title | Company Name
Published By: SAS     Published Date: Apr 25, 2017
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis. The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
Tags : 
    
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.
Tags : 
sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
This report examines how data visualization can help organizations unleash the full value of information, and outlines key considerations to guide the solution evaluation process.
Tags : 
sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
SAS
Published By: Pentaho     Published Date: Apr 28, 2016
As data warehouses (DWs) and requirements for them continue to evolve, having a strategy to catch up and continuously modernize DWs is vital. DWs continue to be relevant, since as they support operationalized analytics, and enable business value from machine data and other new forms of big data. This TDWI Best Practices report covers how to modernize a DW environment, to keep it competitive and aligned with business goals, in the new age of big data analytics. This report covers: • The many options – both old and new – for modernizing a data warehouse • New technologies, products, and practices to real-world use cases • How to extend the lifespan, range of uses, and value of existing data warehouses
Tags : 
pentaho, data warehouse, modernization, big data, bug data analytics, best practices, networking
    
Pentaho
Published By: Infosys     Published Date: May 21, 2018
Experimenting faster is a trait shared by most innovative organizations. They want to experiment with new products and promotions to see if they can unearth bold new ways of serving the customer. But this experimentation cannot be random: it needs to be guided by data and based on current customer insight. It was access to this data that was the problem for our client, a large consumer brand. It took a long time to prepare the data to a point where it could be used by business managers. So long, in fact, that the data was no longer relevant; and the moment as often lost. The company needed to be able to experiment faster but was held back by a cumbersome and ineffective analytics infrastructure.
Tags : 
experiment, organizations, customer, insights, analytics
    
Infosys
Published By: Hitachi Vantara     Published Date: Jan 11, 2019
Making sense of your data is one of the greatest challenges facing business today. Imagine a world where innovation and time-to-value are accelerated by AI and automation. Hitachi Vantara works at every point along the data value chain from analytics and insight, through intelligent governance to efficient, agile storage. Download this e-book to find out how to turn the business-enabling capital of the digital era into sustainable value.
Tags : 
    
Hitachi Vantara
Published By: IBM     Published Date: Nov 09, 2012
The objective of this paper is to give you an update on the latest functions, features and benefits of IBM DB2 for z/OS. This paper also features an introduction to DB2 10 by Roger Miller, which highlights the main functions, features and more.
Tags : 
performance availability, application enablement, data warehousing, tco, total cost of ownership, business analytics
    
IBM
Published By: Distributive Management     Published Date: Jun 19, 2007
DataDrill EXPRESS is known for being the most capable web-based performance dashboard tool available for software and IT projects and organizations, automating every aspect of performance measurement.
Tags : 
datadrill, distributive management, brochure, performance management, data collection, it management, project management, analytical applications
    
Distributive Management
Published By: StreamSets     Published Date: Feb 13, 2019
Enterprise analytics has quickly evolved from a centralized business intelligence function for historical reporting and dashboards to a democratized capability where anyone can access, analyze and act on all available information, often in real-time while employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration.
Tags : 
    
StreamSets
Published By: IBM     Published Date: Aug 07, 2012
Databases and information management systems let you describe, categorize, store, modify and analyze data. What if you could do the same with decisions? Your systems could learn from previous choices and manipulate them to fit new parameters to intelligently mold future decisions made by executives, everyday business users and even your systems to optimize outcomes. Read this a specially selected excerpt from James Taylor's new book, "Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics" to discover the guiding principles for building decision management systems that can help your organization differentiate itself from the competition at virtually every decision point.
Tags : 
ibm, technology, decision management systems, business rules, predictive analytics, data, james taylor
    
IBM
Published By: IBM     Published Date: Jan 17, 2013
Read this excerpt from James Taylor's new book, "Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics" to discover the guiding principles for building decision management systems.
Tags : 
decision, management, business, rules, principles, organization, james taylor's
    
IBM
Published By: FICO     Published Date: Nov 10, 2015
"ACG Michigan, a large auto insurance underwriter in the US state of Michigan, needed a user-friendly system that would enable its agents (internal and independent) to churn out precise and consistent policy quotes and underwriting decisions. They turned to FICO Blaze Advisor decision rules management system to create an enterprise decision management framework to execute decisions. Learn more on how FICO Blaze Advisor helped ACG Michigan automate its underwriting About FICO FICO (NYSE: FICO), formerly known as Fair Isaac, is a leading analytics software company, helping businesses in 90+ countries make better decisions that drive higher levels of growth, profitability and customer satisfaction. The company's groundbreaking use of Big Data and mathematical algorithms to predict consumer behavior has transformed entire industries. FICO provides analytics software and tools used across multiple industries to manage risk, fight fraud, build more profitable customer relationships, optimiz
Tags : 
decision analytics, optimization, profitability
    
FICO
Published By: IBM     Published Date: Aug 08, 2012
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
Tags : 
ibm, technology, marketing, decision management, data, automation, optimization, business insight
    
IBM
Published By: IBM     Published Date: Jan 17, 2013
Read this white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business.
Tags : 
decisions, success, drive, management, effectively, business data, support, real-time
    
IBM
Published By: SAP     Published Date: Jul 18, 2016
The SAP® BusinessObjects™ Cloud solution offers all analytics capabilities for all users in one product. In the boardroom, at the office, or in front of a customer, you can discover, analyze, plan, predict, and collaborate in one integrated experience designed expressly for the cloud. Read the solution in detail to learn how to turn instant insight into quick action.
Tags : 
    
SAP
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
Tags : 
    
Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
Tags : 
    
Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
Tags : 
    
Group M_IBM Q3'19
Published By: IBM     Published Date: Jan 09, 2014
Forward-thinking organizations are recognizing the superiority of Power Systems* technology. The Power Systems family offers the ultimate system for today’s compute intensive business applications and databases. “Power Systems continues to prove itself as the ultimate system for compute intensive workloads, high performance analytics, high performance UNIX*, and high performance computing.
Tags : 
ibm, ibm power systems, analytics, power 7, big data, decision making, power systems, virtualization
    
IBM
Published By: Connectus     Published Date: Aug 21, 2009
This paper discusses both the benefits and the pitfalls of the increased focus on marketing measurement, and describes how a comprehensive Marketing Intelligence strategy can be used to report on the full spectrum of marketing activities.
Tags : 
marketing, email marketing, business intelligence, business analytics, analytics, analytical applications, marketing intelligence, direct response
    
Connectus
Published By: Cisco     Published Date: Oct 08, 2018
Detect attacks that get past perimeter defenses across the digital business. Detect malicious patterns in encrypted traffic. No decryption is needed with our Encrypted Traffic Analytics technology and multilayer machine learning. Extend your network visibility.
Tags : 
encrypted traffic, digital business, security, network, network visibility, next generation firewall, digital transformation, advanced malware protection
    
Cisco
Published By: Workforce Software     Published Date: Apr 03, 2012
We will go over a brief introduction of what workforce analytics is, and take a look at why it is sometimes so difficult to get the information we need out of our HR or Business Intelligence systems. We will also dive into the important metrics we should consider as HR professionals and what metrics will ultimately drive your business forward.
Tags : 
human resources, hr management, workforce software, workforce analytics, employees, business analytics
    
Workforce Software
Published By: Vindicia     Published Date: Jun 17, 2014
Many digital offerings are sold on a subscription and recurring basis. Bring Digital Goods and Subscribers Together - this eBook gives you nine essentials for acquiring subscription and recurring revenue customers.
Tags : 
subscription revenue billing, subscription payments, subscription model best practices, subscription billing solutions, subscription billing software, subscription billing platform, subscription billing company, subscription billing business models
    
Vindicia
Published By: Vindicia     Published Date: Jun 17, 2014
The eBook ‘Digital Age / Digital Goods’ provides information on the various components you’ll want to address while you test an acquisition mix best suited for your organization, and your target audience.
Tags : 
subscription revenue billing, subscription payments, subscription model best practices, subscription billing solutions, subscription billing software, subscription billing platform, subscription billing company, subscription billing business models
    
Vindicia
Published By: Tealium     Published Date: Mar 12, 2014
In this paper, Web Analytics Demystified presents an approach towards big data that has the potential to simplify the quest for “whole customer” data and improve your company’s odds of success.
Tags : 
tealium, big data, data analytics, business analytics, information technology, data distribution, tag management systems, marketing
    
Tealium
Start   Previous    4 5 6 7 8 9 10 11 12 13 14 15 16 17 18    Next    End
Search Research Library      

Add Research

Get your company's research in the hands of targeted business professionals.