Published By: Cisco EMEA
Published Date: Nov 15, 2017
A new Harvard Business Review Analytic Services global study of more than 300 midsize to large enterprises finds that many executives believe current collaboration tools fall short on supporting the depth, pace, and style of teamwork now required to keep up with today’s most important business imperatives.
Published By: Bloomberg
Published Date: Jun 11, 2012
Bloomberg Government (BGOV) is a unique online service that helps business and government leaders understand the business impact of government actions through a combination of in-depth analysis, best-in-class data, analytical tools, and award winning journalism, enabling better decisions. bgov.com
This paper provides information on the business benefits of incorporating mobile within marketing programs and how companies maximize results from this endeavor through use of analytical tools such as business intelligence and multi-channel analytics.
Read more to learn how Cisco’s Mobile Experience Business Offer can unleash the power of your network to better serve your customers with locations based analytics, real time interactions, and mobile experience development tools.
Business decision making is undergoing a data-infused renaissance.
Organizations are tired of the limitations of spreadsheets and
dealing with long IT business intelligence (BI) development cycles
just to gain access to the data they need now. Fortunately, with
the advent of visual analytics and discovery tools (many offered
in the cloud), the journey to data insight is getting simpler and
faster. Rather than trying to divine meaning from a group of
predefined reports or simple static dashboards, visual analytics
helps users gain insights from data more quickly using intuitive data
visualization. Increasingly, visual analytics tools provide easy-touse
data preparation features for better data access. They support
collaboration, mashups, and storytelling.
TDWI Research sees growing interest in applying more modern,
up-to-date tools for working with data.
Published By: Genesys
Published Date: Oct 16, 2013
Earlier this year, Gartner released the 2013 Magic Quadrant for Call Center Infrastructure, an annual report that analyzes call center infrastructure vendors for completeness of vision and ability to execute.
Explore and compare contact center solutions from today's top vendors and decide which solution is right for you.
This is the fifth consecutive year that Genesys has been named a worldwide Leader for Contact Center Infrastructure. The Genesys Customer Engagement platform (referred to as the Customer Interaction Management or ‘CIM’ platform in the report), is the industry’s most complete platform on which companies can deploy an all-in-one, end-to-end scalable contact center
Get the 2013 Gartner Magic Quadrant for Contact Center Infrastructure now!
Deep-dive analytics tools have completely transformed the way many organizations do business—helping remove the guesswork from major areas of operations, and provide everybody with the clear, actionable answers they need to make informed business decisions.
The benefits of sophisticated analytics are being reaped across the business. But according to Deloitte, HR is lagging behind— with only 14 percent of companies using analytics in HR, compared to 77 percent using these tools in Operations1.
Despite being knowledgeable about their industry and experienced in running their organizations, the majority of business users lack expertise in analytics and visualization techniques—but that doesn't stop them from wanting to have a go. But making tools easier and more widely accessible is only part of the answer. A better approach is to work both sides of the gap. To make tools that can empower business users to discover and unlock value in their data—and that extend capabilities for experts, so they can share the analytics workload, improve efficiency, and focus on higher level work.
Published By: Attunity
Published Date: Feb 12, 2019
Read this checklist report, with results based on the Eckerson Group’s survey and the Business Application Research Center (BARC), on how companies using the cloud for data warehousing and BI has increased by nearly 50%. BI teams must address multiple issues including data delivery, security, portability and more before moving to the cloud for its infinite scalability and elasticity.
Read this report to understand all 7 seven considerations – what, how and why they impact the decision to move to the cloud.
Ask the average business user what they know about Business Intelligence (BI)
and data analytics, and most will claim to understand the concepts. Few, however,
will profess to know how analytics works or to have the skills needed to put it
into practice. Despite being knowledgeable about their industry and experienced
in running their organizations, the majority of business users lack expertise in
analytics and visualization techniques—but that doesn’t stop them from wanting
to have a go.
This situation has led to ease of use and accessibility becoming the main focus
for recent updates from all the leading BI vendors—but making tools easier and
more widely accessible is only part of the answer.
A better approach is to work both sides of the gap. To make tools that can
empower business users to discover and unlock value in their data—and that
extend capabilities for experts, so they can share the analytics workload, improve
efficiency, and focus on higher level work.
It is important to understand the different business situations where traditional predictive analytics can be best applied and where anticipatory analytics may be a more appropriate approach to solve the business problem. One is not necessarily superior to the other – it’s about which methodology is best utilized in solving the specific business problem. Conventional response modeling, revenue potential modeling, wallet share analysis, traditional risk scoring and other analytic practices will always be important tools for businesses far-and-wide, but as more companies focus on analytics to inform growth, they’ll have employ the right team and identify the right partners to work with in order to successfully leverage anticipatory analytics to gain a competitive advantage.
Looking forward, we anticipate anticipatory analytics playing an important role in your future. Download this white paper to learn more.
Read this white paper to get an in-depth look at the benefits of embracing a digital business model, and find out how sports teams of all types can use cloud service providers with digital marketing and analytics tools to gain a competitive edge on the marketing playing field.
Businesses that exploit Big Data to improve strategy and execution are distancing themselves from competitors. The Big Data solution from EMC provides market-leading, scale-outing storage, a unified analytics platform, and business process and application development tools. Together, these allow organizations to draw deeper insights and become a more predictive organization.
Today, businesses pour Big Data into data lakes to help them answer the big questions:
Which product to take to market?
How to reduce fraud?
How to retain more customers?
People need to get these answers faster than ever before to reduce “time to answer” from months to minutes. The data is coming in fast and the answers must come just as fast.
The answer is self-service data preparation and analytics tools, but with that comes an expectation that the right data is going to be there. Only by using a data catalog can you find the right data quickly to get the expected insight and business value. Download this white paper to learn more!
Learn how IBM Watson Health clinical application advisors helped Floyd Health Care System take full advantage of the platform’s many benefits.
As part of its journey toward population health management, Floyd wanted to optimize the way it used the IBM® Phytel® solution from IBM Watson Health™ and take advantage of its analytical tools.
With help from an IBM Watson Health clinical application advisor, Floyd expanded its IBM solutions and used their unique capabilities to progress toward a more robust population healthcare model by adding care coordination activities and improving key process measures.
Between the Internet of Things, customer experience and loyalty programs, social network monitoring, connected enterprise systems and other information sources, today's organizations have access to more data than they ever had before-and frankly, more than they may know what to do with. The challenge is to not just understand that data, but actualize it and use it to recognize real business value. This ebook will walk you through a sample scenario with Albert, a data scientist who wants to put text analytics to work by using the Word2vec algorithm and other data science tools.
Cloud-based solutions are revolutionizing the way that enterprises conduct business. These web-based versions of common business tools, like analytics or document management tools, retain most or all of the functionality of their desktop versions and provide significant access, customization, and utility to end users. More organizations are ditching on-premises solutions and adopting cloud-based tools, also known as Software-as-a-Service (SaaS), "hosted," or "on-demand" solutions. The are becoming invaluable assets in today's agile and mobile workforce.
Data Analytics has become critical for many business decision makers. However, many of these managers and data analysts still rely on spreadsheets and other legacy-era tools that fall far short of current needs. As a result, they also rely heavily on a virtual army of data specialists and scientists, working under the auspices of a centralized analytics group, to prepare, blend, analyze, and even report on the critical data they need for decision making.
Download this new paper to get the details behind self-service data analytics, and how it lets business analysts:
Take charge of the entire analytical process, instead of relying on other departments
Overcome limitations of legacy tools to save time and prevent errors
Make more comprehensive and insightful business decisions at speed
In an era where Big Data decisions demand high-powered tools, organizations everywhere are still mired in complex spreadsheets that limit the speed and precision of their critical customer interactions.
Read this fact sheet to learn how you can evolve beyond what spreadsheets alone can achieve:
• Allow business users to easily create and compare “what if” scenarios, interact with compelling visualizations, and challenge, improve and build trust with stakeholders and collaborators
• Rapidly deploy new optimization features and applications practically at the speed of thought – without leaning on IT – while leveraging existing investments in other analytic tools (such as R, SAS, MATLAB, and even Excel)
Whether you’re onboarding new customers, cross- or up-selling, getting your supply chain or logistics right, or even collecting unpaid debt, making the best choice of decisions means weighing not just what’s right for your department – but what is best for the business overall. Not to mention what is optimal for your customers and partners.
And let’s face it, even with the availability of business intelligence and other analytic tools, it’s hard to know what constitutes the right actions to take in an era where Big Data consistently throws you curveballs. Prescriptive Analytics can help – but for most organizations, there are more questions and concerns than answers about how to implement it successfully.
Read our white paper on how Prescriptive Analytics can transform your business decisions and actions – leveraging your existing analytics investment and organizational DNA while helping you drive transparency, customer experience, and profits
It’s critical that Finance teams have accurate, relevant, and timely data to understand current run rates and to steer your company toward growth. “The Finance Boss Guide to Oracle E-Business Suite to Drive Exponential Financial Gains” will help you translate numbers into fiscal performance through better reporting, analytics and planning, such as:
How to create your own usable, sharable reports and web-based dashboards tracking financial performance and progress against company-wide KPIs
Avoiding over-investing in dated ERP tools
Industry analyst’s take on how to get better reporting and planning best practices and tools
How Finance leaders at Bibby Distribution used the ability to drill down into reports to get exactly the detail they needed to address immediate business issues
With an ever-growing array of customer interactions, especially digital, businesses are rapidly looking to gain competitive advantage by using data and insights at scale to create and activate 360-degree profiles of their customers to deliver a better experience. In a rush to accelerate digital growth and improve their business strategies, many global enterprises have built soiled, redundant technology environments, resulting in inaccurate, or worse, conflicting views of their customer's brand interactions. For example, Forrester's research reveals that 90% of enterprises use multiple analytics tools.
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics.
Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set:
• Enterprise-class relational database query and management system
• Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools
• Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
"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
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
Published By: SRC,LLC
Published Date: Jun 01, 2009
Companies spend millions of dollars every year on building data warehouses, buying business intelligence (BI) software tools and managing their analytic processes in the hope of gaining consumer insight and winning market share. Yet, many companies fail to realize the full benefits of their technology investments because they are hamstrung by the layers of expertise and the complexity of technology tools needed to integrate various data warehouses and associated tools within their existing analytic environments. Since analysis is only as good as the accessibility, timeliness and accuracy of the information being analyzed, the interoperability of any data warehouse with any analytic environment is essential to achieving insightful, actionable analysis and making better decisions.