This Economist Intelligence Unit report discusses how highgrowth small and mid-sized enterprises (SMEs) are scaling their organisations to provide resources for growth whilst ensuring flexibility to respond quickly to changes in market conditions; the role of technology in scaling SMEs; and success factors in scaling headcount.
As businesses start to experiment with true artificial intelligence, safe delivery of AI demands a new risk and control framework. This report, designed for anyone tasked with the safe delivery of AI, proposes an effective solution.
Read the report to find out:
• the risks associated with AI and the challenge of managing them
• a 17-category Risk & Controls framework for AI
• in-depth details for key categories, including security management, business continuity and knowledge management
• an essential glossary of AI terms.
Is your data architecture up to the challenge of the big data era? Can it manage workload demands, handle hybrid cloud environments and keep up with performance requirements? Here are six reasons why changing your database can help you take advantage of data and analytics innovations.
With the advent of big data, organizations worldwide are
attempting to use data and analytics to solve problems previously
out of their reach. Many are applying big data and analytics
to create competitive advantage within their markets, often
focusing on building a thorough understanding of their
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-centric
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.
This video demonstrates how IBM’s Behavior Based Customer Insight for Banking leverages predictive analytics to help you personalize customer engagement and deliver customized actions. The solution leverages advanced predictive models to analyze customer transactions and spending behavior to more deeply understand customer needs and propensities, anticipate life events, and help provide a unique customer experience.
Learn new ways of analyzing digitally connected customers-from dynamic segmentation to the use of advanced analytics. With predictive tools, banks can analyze transactions and spending behavior to better understand customer needs, anticipate life events, and provide a unique experience.
Forward-looking enterprises know there's more to big data than strong and managing large volumes of information. Big data presents an opportunity to leverage analytics and experiment with all available data to derive value never before possible with traditional business intelligence and data warehouse platforms. Through a modern, big data platform that facilitates self-service and collaborative analytics across all data, organizations become more agile and are able to innovate in new ways.
Competitive enterprises that embark on big data strategies do so with the expectation that their businesses will transform. They don't just want answers from the data they collect and analyze, they want results. Be it with small, fledgling trials or large, cross-functional efforts, these enterprises want to see clearly how big data can make a difference - with their customers, their processes, their bottom lines and, most important, with growing the business.
ERP and Business Intelligence are essential to your success. Read this and learn how to improve productivity and decision-making. You'll see how Blue Coat WAN Optimization leverages proven solutions to achieve dramatic reductions in latency and bandwidth consumption.
Register to view an on demand video presentation and learn how to leverage powerful business intelligence and performance management software for the midmarket with valuable tips and access to more in depth information.
Order processing is most efficient when manual touch points are minimized. But when orders come in by fax or email, what’s the best way to handle them?
Read our eBook, Addressing Manual Order Management, to learn how 100% electronic order processing can be achieved via one universal automation platform.
Download this eBook to discover how to:
Make every order electronic
Allow customers to send fax/emails Increase speed, visibility & accuracy
Eliminate manual data entry
Manage growth without adding staff
The overall success and competitiveness of a company can be directly tied to the efficiency of its order management process.
If you’re fed up with the low visibility, high costs, and inefficiency of fax, email and EDI order processing, here are 9 reasons why order processing automation in an SAP environment is a brilliant business move for your company.
Learn more about Order Processing Automation — download the guidebook today!
In a perfect world, every sales order your company receives would go straight into your SAP system. But in reality, orders sent by fax and email end up as paper that gets pushed around the office. And those are the ones that cost the most to process.
Learn about a solution to:
Automate fax, email, EDI, and other orders into SAP applications
Eliminate the cost and errors of manual order processing
Consolidate resources to simplify your IT landscape
You’ll also find out how the technology works and what it has done for other businesses.
When a business event occurs, or a priority request for intelligence comes down the pipe, the modern enterprise has to be able to quickly deliver the right information to the right people. Unfortunately, many organizations continually struggle with accomplishing this task, as the size and complexity of their IT infrastructure rapidly expands. In this latest research, Aberdeen recommends actions for organizations currently involved in data integration, or contemplating the adoption of such practices.
The very best CFOs are becoming “technology evangelists”, investing in the latest mobile, social, analytical and cloud technologies to modernize their finance organizations and become more strategic partners to the business. Find out more – download the report, “Empowering Modern Finance: The CFO as Technology Evangelist.”
Published By: ClearStory
Published Date: Oct 07, 2014
When it comes to “big data,” Gartner boils it all down to “value.” In their 2014 Cool Vendors for Big Data report, ClearStory Data was among 4 companies profiled. According to Gartner, ClearStory is “for companies looking at big data business intelligence and analytics from a data variety perspective.”
In collaboration with Enterprise Management Associates (EMA), AppDynamics has conducted a survey of application management professionals and managers to determine exactly what IT organizations want and need from APM providers.
Here are some key findings from the research:
• Only 30% of companies currently have application-specific solutions to monitor apps
• 50% or fewer of the tools companies have purchased are actively being used to monitor apps
• 27% of application-related problems are detected by monitoring tools
• A “unified monitoring platform” is the top choice in a feature of an APM solution
Download the full report to review the findings and understand the key challenges and “must haves” associated with APM solutions voiced by IT professionals themselves.
This report from Forrester Research shows how, in today’s digitally-driven world, applications are at the center of the universe. They are the point atop the pyramid where code, data, and modern technologies such as cloud and the Internet of Things (IoTs) interact to enrich the lives of consumers, perform useful scientific and medical work, and drive business value.
The analytics and BI platform market's multiyear shift of focus from IT-led reporting to business-led self-service analytics is now mainstream. Data and analytics leaders should invest in modern platforms for greater accessibility, agility and analytical insight from a diverse range of data sources.
Published By: OpenDNS
Published Date: Mar 31, 2015
"Security solutions are getting more sophisticated, but so are the advanced threats that you are up against.
While businesses have the power to gather more intelligence from more sources, it can be difficult to share that intelligence and apply enforcement on any device, anywhere, anytime."
With the increasing mainstream adoption of big data infrastructure — highly distributed file storage and query tools — more businesses are taking a new look at what business intelligence and analytics can do to grow revenue, increase profits and ultimately develop strategic relationships with customers.
Published By: Lookout
Published Date: Dec 13, 2018
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years.
As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence.
Watch the webinar to learn more about:
What makes up the full spectrum of mobile risks
Lookout's Mobile Risk Matrix covering the key components of risk
How to evolve beyond mobile device management