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Published By: IBM Software     Published Date: Oct 21, 2010
Key finding and recommendations on what business intelligence leaders need to consider in order to support collaborative decision making within their organization.
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ibm cognos, collaborative decision making, business intelligence, knowledge workers, best practice
    
IBM Software
Published By: IBM Software     Published Date: Oct 26, 2010
Analytics are changing how organizations today operate. Being able to quickly and effortlessly interact with business information is now considered essential to making the best business decisions.
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analytics, business decision making, analytics system
    
IBM Software
Published By: IBM Software     Published Date: Oct 26, 2010
Learn how IBM Cognos Business Intelligence Query and Reporting provides you with the information you need to drive fact-based, comprehensive business decisions in this white paper.
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business intelligence, business decision making, business reporting
    
IBM Software
Published By: IBM Software     Published Date: Oct 26, 2010
See what's new in IBM Cognos Business Intelligence V10.1 that makes it possible to connect everyone in your organization with the insight, analytics and information they need to make better, faster, smarter decisions.
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analytics, smarter decisions, decision making tools, v10.1, business intelligence, cognos, ibm, faster decisions
    
IBM Software
Published By: IBM Software     Published Date: Feb 11, 2011
Learn how decision management optimizes and automates high-volume decisions to create successful outcomes.
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ibm cognos, predictive analytics, customer relationship, decision management
    
IBM Software
Published By: SAS     Published Date: Jul 25, 2011
An analytic center of excellence demonstrates that an organization is committed to making better, fact-based decision and leveraging analytics to validate assumptions and identify root causes of business problems. This paper focuses on how to form an analytic center of excellence and the value the business will derive from it.
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coe, cost of excellence, sas, optimize, optimization, research, development, new product, services, internet, expedia inc, analytic, ecommerce, express warranty, news, article, story
    
SAS
Published By: SAS     Published Date: Apr 16, 2015
We often hear about how the massive volumes of data the US government collects hold a treasure trove of answers to our most challenging questions – be it on population health, national security, education or how to recoup losses from tax fraud. If only the government could figure out how to make use of all that information. Texas is one example of a government that is using analytics to solve complex problems. As the case studies here demonstrate, agencies and academia in the Lone Star State are putting big data and analytics to work to eliminate waste, improve productivity and, in some cases, even enhance transparency.
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SAS
Published By: SAS     Published Date: Apr 16, 2015
Ecclesiastical uses SAS® to improve data quality to make better decisions that enhance the reputation of the business, affect millions of pounds of risk selection/underwriting and help to establish optimum reinsurance levels. Millions of pounds hang on decisions around reinsurance and risk selection. Achieving the best possible outcome means taking data and turning it into ‘decision-making gold’. The key is to have good data going into the process.
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SAS
Published By: SAS     Published Date: Apr 16, 2015
ITS technology is a general term. Two common and related forms of ITS communication technology using event stream processing are referred to as vehicle-to-vehicle (V2V) and vehicle to-infrastructure (V2X) in the US, and car-to-infrastructure (Car2X) in Europe. The two types of connected-car research and development programs often overlap and can be integrated. Car2X enables vehicle communication with the road transportation infrastructure and provides the ability to send or receive local information about traffic conditions, geo-markers (e.g. to identify pothole locations), road hazards, alerts, safety vehicles, etc. V2V focuses on connected-car technology and the anonymous communication of sensor data continuously transmitted to and from cars. Using event stream processing, this streaming data enables the real-time synthesis of information to communicate what will improve and promote driver safety, reduce crashes, and improve vehicle transportation efficiency.
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SAS
Published By: SAS     Published Date: Nov 04, 2015
How does marketing compare to a game of pool? Sometimes you hit a good shot – 9 ball corner pocket – like when you’ve marketed a product and your customer purchases it. But sometimes your shot misses, and you knock in your opponent’s ball. You could even knock your ball into the pocket, but mistakenly knock your opponent’s ball into a different pocket at the same time. Of course, you can’t predict everything in a game of pool – or in marketing. A campaign may reveal a weakness that sends customers scuttling to a competitor. A new product can cannibalize an existing product line. Customers could leave one of your legacy product lines to consume one of your newly launched products – perhaps causing you to lose some revenue. But unlike pool, it’s hard to observe and measure with the naked eye what’s happening in marketing. The way to improve your chances of success is to build a solid measurement plan that lets you define and measure diagnostic metrics.
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sas, marketing analytics, data driven decision making, consumer behavior, marketing mix
    
SAS
Published By: SAS     Published Date: Aug 03, 2016
The financial collapse of 2008 had the greatest impact on the financial services industry since World War II, resulting in consolidation and extensive regulation. The crisis coincided with increased competition from emerging economic powers, nonbanks and fintech organizations. Consumer behavior, from the adoption of mobile banking to P2P payments, forced banks to retool and respond with innovative products and investments in new delivery channels. Technology changed rapidly as well. In the capital markets, trading became fully automated, with pricing, risk decisions and settlement across exchanges made in milliseconds
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finance, best practices, productivity, economic power, consolidation, fintech, technology, data, security, risk decision
    
SAS
Published By: SAS     Published Date: Aug 03, 2016
Imagine that you are in a meeting with several department heads discussing issues around enrollment. As people begin to share their thoughts, you quickly realize that each person in the room is working from conflicting information – and everyone thinks their information is correct. The group spends most of the meeting arguing over whose data and reports are correct rather than understanding the problem and making decisions. Sound familiar? When organizations have their data fragmented across many systems and departments, these situations are all too common. Without a single, trusted source of truth and easyto- use tools to interpret and understand the data, conversations are limited by everyone’s departmental perspectives and resources.
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best practices, enterprise, competitive advantage, technology, data
    
SAS
Published By: SAS     Published Date: Aug 03, 2016
Identifying the best technology to improve marketing performance is a complex decision, especially for a growing marketing organization. Deciding where to spend valuable capital should be based on the greatest opportunity for gain. In the current marketing environment, the greatest opportunity is in analytically enabled marketing.
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best practices, technology, data, opportunity, marketing
    
SAS
Published By: SAS     Published Date: Aug 03, 2016
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment.
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best practices, embedding analytics, technology, data, operational analytics
    
SAS
Published By: SAS     Published Date: Aug 04, 2016
Banks have been using credit scoring models for over five decades, so managing the life cycle of models is nothing new. Most have had some kind of process in place to ensure the models they develop are robust, validated and monitored from a performance perspective and that decision makers have confidence in them. In recent times, however - partly in response to the credit crisis in 2008 - the discipline of model risk management (MRM) has become more formalized and rigorous, driving the need for enterprise-level model information management systems. The regulatory scrutiny being applied to them is intensifying and spreading globally, with US and European regulators leading the charge. For example, whereas regulators were previously more interested in the numbers they were provided, now more regulators want to have a core understanding of the models banks used to generate these numbers.
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best practices, risk management, finance, security, info systems
    
SAS
Published By: SAS     Published Date: Apr 25, 2017
No matter what your initiative, accurate data is where to start if you want to make the best possible decisions. There’s certainly no lack of data. But simply having lots of data won’t necessarily help you answer big questions, understand problems or make faster, better decisions. To achieve competitive advantage, maintain profitability or satisfy customers, you must be able to act on what the data tells you.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
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: SAS     Published Date: Mar 06, 2018
The Connected Customer is an individual who is intimately connected to the data, outcomes, decisions, and staff associated with any relationship to an organization. This intensely personal connection is not just a matter of the most recent transaction, but represents a combination of connected data, connected analytics, and collaborative decisions associated with improving the customer’s relationship with the organization over time. In this report, Blue Hill explores the key traits associated with supporting the Connected Customer through the Internet of Things, and provides guidance on why the Internet of Things will be essential across the general business landscape
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SAS
Published By: SAS     Published Date: Dec 20, 2018
There’s no shortage of data scientist interview questions available online. You can find lists and lists of questions to ask data scientist recruits in an interview, but most of the questions focus on the technical and quantitative aspects of the job without considering the softer skills. Our list takes a different approach. If you’re hiring a data scientist, we recommend focusing on more than technical skills, and your interview questions should reflect that. Data scientists have a unique blend of skills; not only do they solve problems by squeezing information out of data, they also communicate results and persuade others to apply that information to their decisions. Remember that data scientists aren’t just ninja quantitative analysts, says Wayne Thompson, Chief Data Scientist at SAS. “You’re looking for more than technical skills. Logical reasoning agility, along with storyboarding skills are critical because these scientists must be able to solve problems iteratively in collabo
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SAS
Published By: Compinsense     Published Date: Aug 30, 2010
Now more than ever, companies need to establish a solid foundation for their compensation and people programs. Learn how to mitigate your risk to employee lawsuits, keep your employees engaged and make the right decisions about your reward programs during these tough economic times.
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lawsuits, employee lawsuit, wage, hour litigation
    
Compinsense
Published By: HRMC     Published Date: Sep 23, 2010
HRMC Acclaim is a unique talent acquisition SaaS platform that uses artificial intelligence to automate the decisioning and selection process, and starts with an immediate interview rather than a cold, flat resume request.
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applicant, recruiting, staffing, applicant processing, applicant evaluation, assessment, selection, hiring
    
HRMC
Published By: Adobe     Published Date: May 09, 2011
Forrester recently surveyed 225 Information and Knowledge Management (I&KM) professionals with Web Content Management (WCM) decision-making or influencer roles about their WCM strategies for the coming year.
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adobe, web content management, enterprise application, knowledge management, wcm, analytics, social networking, rich media management
    
Adobe
Published By: Okta     Published Date: Apr 29, 2015
Authenticating users on a variety of endpoints should provide the right balance of user experience, security and workforce productivity. CISOs and IAM leaders need to keep pace with new methods of remote access for the mobile workforce in a constantly changing work environment. Read this report why.
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workforce, ciso, iam, mobile, workforce
    
Okta
Published By: Lixto Inc.     Published Date: Dec 20, 2010
Timely market price intelligence enables informed price decisions and provides pricing managers the ability to identify assortment gaps.
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price management, market price intelligence, pricing managers, price decisions, competitor pricing, market intelligence data
    
Lixto Inc.
Published By: DataMotion     Published Date: Jan 06, 2011
Get a better understanding of the value to your organization of securing email with encryption. Read Educating Decision Makers About the Need for Encryption, a whitepaper by Osterman Research
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secure email, encryption, private email
    
DataMotion
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