Published By: Aberdeen
Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
What’s the best analytic approach for your business?
As technology has evolved, so has our ability to process data at an incredible rate, making it possible to perform what has become known as Anticipatory Analytics. While still a relatively new concept, anticipatory analytics is gaining prevalence as a methodology.
If you’re seeking to understand the future needs of your business before they show obvious signs, anticipatory analytics can’t be ignored.
In this document, you’ll learn:
• The advantages of anticipatory analytics
• The key enablers of anticipatory analytics
• How anticipatory can be leveraged for your business
• Why anticipatory can give you first-mover advantage
• When to use anticipatory or predictive analytics, based on your goals
Stories and statistics behind successful analytics projects
The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries.
Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data.
The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.
Published By: Microsoft
Published Date: Feb 02, 2017
Download the Keystone Research whitepaper to see how top performing enterprises use their IT investments to store, process, and use data to make more effective, real-time decisions.
Keystone Research, a global economics and data-driven strategy consulting firm, interviewed senior IT and business decision makers at over three hundred businesses to uncover the relationship between Data & Analytics technologies and business performance. This research shows that companies who have developed the most sophisticated Data & Analytics platforms and apply these capabilities as a regular part of their business enjoy operating margins that are eight percentage points higher than lagging organizations. This translates to $100 million in operating profits on average for the more advanced companies in the sample controlling for factors such as company size and industry vertical.
The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences.
Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes.
In this white paper, you’ll gain a better understanding of:
The difference between predictive and prescriptive analytics
How predictive and prescriptive actions complement one another to help you achieve optimized business decisions
IBM’s approach to creating a powerful end-to-end decision management system
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice.
In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics.
Read this paper to learn how your organization can more effectively:
Compete – Secure the most powerful and unique competitive stronghold
Grow – Increase sales and retain customers competitively
Enforce – Maintain business integrity by managing fraud
Improve – Advance your core business capacity competitively
Satisfy – Meet today's escalating consumer expectations
Learn – Employ today's most advanced analytics
....and finally, render your business intelligence and analytics actionable.
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
Energy companies are being challenged on multiple fronts. Core expectations require the delivery of safe, reliable, affordable and sustainable energy. Business models are being challenged by alternatives such as renewables and consumers demanding more sophisticated interactions through social and mobile.
Energy companies need to:
Disruptively innovate business processes through analytics driven operational excellence to increase agility and responsiveness, reduce operational costs and improve asset reliability
Assume the role of energy integrator to optimally balance supply and demand points
Deliver a 360-degree customer-of-one experience to increase customer satisfaction and loyalty, reduce costs, and improve management of energy demand
To stay ahead of the competition in a global marketplace, firms are increasingly speeding up operations, in many cases adopting real-time systems and tools to allow for instant decision-making and faster business cycles. Download here to learn how.
To better understand the benefits, costs, and risks associated with implementation of SAP Business Objects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to provide the conclusions of this cost and benefit analysis.
To better understand the benefits, costs, and risks associated with implementation of SAP BusinessObjects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to report cost and benefit findings
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
Technology enables business transformation To thrive in today’s idea economy, small and midsize companies like yours are using technology to transform their business. Like your peers, you know that mobile applications, cloud-based solutions, and advanced analytics can help you increase productivity, reduce costs, and grow your business. Older servers, storage, and networking products weren’t built to handle the exploding amount of data that is being shared today. In order to take advantage of these modern applications, many companies have found that they need to close the gap between what their business demands and what their IT systems can deliver.
Transform your business with services that allow you to innovate faster, simplify operations, and reduce risk. Building on an open, software-driven approach that uses virtualization, automation, analytics, and cloud, our networkwide architecture prepares you to respond to new opportunities at digital speed.
Published By: Pentaho
Published Date: Nov 04, 2015
Amid unprecedented data growth, how are businesses optimizing their data environments to ensure data governance while creating analytic value? How do they ensure the delivery of trusted and governed data as they integrate data from a variety of sources?
If providing appropriately governed data across all your data sources is a concern, or if the delivery of consistent, accurate, and trusted analytic insights with the best blended data is important to you, then don’t miss “Delivering Governed Data For Analytics At Scale,” an August 2015 commissioned study conducted by Forrester Consulting on behalf of Pentaho.
Businesses today expect finance to play an extended role across departments, including IT, human resources, compliance, operations, sales, marketing, and most importantly, corporate strategy.To successfully deliver on this role, the finance function needs to play a bigger and visible role in real-time decision making and continuous planning. This report explores how, using cloud and analytics, finance leaders can leapfrog a few generations of technology and offer mature analytical feature/functionality and skills to the entire organization.
IT leaders working on customer service projects must display an incredible amount of diligence. An organization’s CRM system has become its lifeline to customers, but as customer needs evolve so has the requirements of CRM. According to Gartner, today’s CRM solution must include a laundry list of capabilities outside its traditional core functionality including: native mobile support of the vendor's customer service and support business applications; real-time analytics; industry-specific functionality and workflow; context mining of voice and text; scalable cloud-based systems; social media engagement; suggested next agent action; multimodal capabilities, such as chat within mobile self-service; and even co-browsing. Gartner surveyed the CRM field and evaluated each vendor including Pegasystems.
Download this Gartner Magic Quadrant analysis and gain a better understanding each vendors’ CRM Customer Engagement Center solutions.
Customer insights professionals face the challenging task of delivering contextually relevant experiences across the customer life cycle. They need to work with their business technology counterparts to integrate enterprise marketing technologies that manage customer data, provide real-time analytics and insights, and automate cross-channel interactions. Here is where Real-Time Interaction Management (RTIM) is critical, according to The Forrester Wave™: Real-Time Interaction Management, Q3 2015 report, which identified the 11 most significant technology providers in this space across 35 criteria. Forrester defines RTIM as “Enterprise marketing technology that delivers contextually relevant experiences, value, and utility at the appropriate moment in the customer life cycle via preferred customer touchpoints,” and identifies Pegasystems as one a leader in this very diversified pack.
Download this Forrester Wave report to
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics.
To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
With new technologies, new opportunities often emerge, especially in business. The advent of innovations, such as social media and mobile devices, is changing the ways businesses interact with customers and the ways in which customers desire to be engaged. Opportunities arising from the benefits of salesforce automation, business intelligence (BI), and customer relationship management (CRM) applications are providing new levels of insight, helping businesses acquire customers more efficiently and retain those customers longer. As a direct result, organizations that invest in better understanding potential customers are likely to see higher returns than those organizations that possess a more limited understanding of their customer base. Seeking the competitive advantage resulting from improved customer focus, IT organizations have increased investment in business intelligence and analytics and the underlying infrastructure to support those applications.
Is turning data into information still a challenge for your company? If so, you are not alone. View this on-demand Webinar with SAP and HP to learn how you can manage ever-increasing amounts of data; provide this data to business users to make critical decisions in a timely fashion; and enable true self-service business intelligence (BI) for business users.
Business intelligence technology must meet the demands of tomorrow's "digital natives"; integrate seamlessly with cloud data and platforms; align people, conversations, and data with business strategy; and make the most of the infrastructures we have today.