Predictive analytics transforms organizations. Watch this video to see how predictive analytics can improve outcomes in four strategic areas critical to the success of your business:
- Customer satisfaction and retention
- More effective HR processes
- Fraud and threat detection and prevention
- Revenue growth and profitability
In this paper, you’ll explore how business analytics can form the foundation for a proactive threat management strategy.
- See examples of how different types of organizations are applying analytics.
- Learn practical steps you can take to combat threat and fraud in your own organization.
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
Many companies can't predict which customer they will retain or which customers will increase their spend. With predictive analytics they can.
This knowledge brief from Aberdeeon Group highlights research findings that show organizations which apply predictive analytics are able to:
Establish timely and accurate insights into customer behavior.
Empower employees to do their jobs more effectively.
Encourage more repeat business and higher wallet share
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.
Akamai’s Predictive Content Delivery (PCD) technology was developed to help satisfy the growing demand of mobile video. It is designed to optimize the delivery of data-heavy video traffic terminating on mobile devices and provide mobile customers with a video service that exceeds their expectations in the form of high-quality, always-available video with instant startup. Read on to find out more.
E-commerce which till a few years back was of peripheral significance to the CPG industry is now one of the biggest drivers of change and innovation in the sector. The numbers representing growth are quite staggering with McKinsey1 believing that the online space will account for anywhere from 10 to 30 percent of total industry sales growth in the next five years. This equates to a market opportunity of USD 15 Billion to USD 50 Billion.
Given how digital is impacting every part of the CPG value chain, companies need to be awake to the emerging trends as they can potentially have a make or break effect. This article discusses key trends that will define the CPG space in days to come.
Will the people you need for your future workforce be there? This complimentary SuccessFactors white paper shows how to shorten the journey to data-driven decision-making about talent. Download it today.
Read this vendor assessment from IDC and find out about the suitability of 10 vendors' AFA platforms for dense mixed enterprise workload consolidation. Discover the areas where the most differentiation between vendors was noted, including their strategies around NVMe and cloud-based predictive analytics.
By creating a connected field service ecosystem, organizations can increase their response time, reduce mean time-to-resolution and eventually, power a more predictive service model. This will enable a new level of field service productivity and cost-savings from increased efficiencies. Organizations will also be able to provide exceptional customer experiences consistently.
Customer disruption and asset downtime will be minimized, and organizations will be able to empower their field service resources with insight into the issue before they arrive at the customer site. All thanks to a unified field service and IoT strategy.
For sales teams to be successful in the age of the customer, they need tools that help them close more deals, faster. Some CRM tools are underused because they’re not geared to helping reps sell in the modern era. This may be because they’re complicated to use; because they’re isolated from the apps your reps use every day; or because they don’t give reps the information they need.
Today, sales automation is not (just) about managing accounts, contacts, and activities. It’s about gaining insight that provides a competitive edge, having access to predictive information, being able to collaborate in real time, creating quotes in front of the customer, updating forecasts. All at any time, from any place, using mobile devices—all helping to drive sales and pipeline.
AI, machine learning and predictive analytics are already driving big performance gains for CFOs and their teams. The ability for cognitive tools to learn at speed helps Finance progressively improve company intelligence and efficiency, including proactive identification of late- and non-paying customers. Get up to speed on the potential of cognitive, with Finance thought-leaders from Oracle and AICPA (American Institute of Certified Public Accountants).
TIBCO Spotfire is the premier data discovery and analytics platform, which provides powerful capabilities for our customers, such as dimension-free data exploration through interactive visualizations, and data mashup to quickly combine disparate data to gain insights masked by data silos or aggregations.
Produced in collaboration with INFOPRO Digital with participation from Capgemini
MAINTENANCE MADE EASY WITH THE HELP OF DATA
Predictive maintenance involves gathering targeted data for analysis, the results of which will help anticipate potential failures before they occur. Companies opt for this type of maintenance to avoid predictable incidents and repair equipment, assembly lines, or machinery with minimum impact on their operations.
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
Imagine a world where incident alerts arrive 30 minutes before problems even begin — you’d actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again — the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.
IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations.
Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter.
Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to:
Enable a business aware IT organization
Unlock operational efficiencies
Solve problems with predictive analytics
The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution.
Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments.
Download your complimentary copy to:
*Gain insight into the developing industry of AIOps and its future
*Learn how to optimize IT operations powered by machine learning to drive business value
*Compare different AIOps platform vendors and their range of capabilities
Marketing automation is quickly becoming a competitive necessity for most organizations. According to a recent Demand Gen Report, 42% of b2b marketers identified marketing automation as the tool they plan to test or deploy in 2016—beyond predictive analysis, account-based marketing, lead nurturing, and attribution modeling.
Download this white paper to discover how to use marketing automation to attract, engage, and convert buyers across all marketing channels by streamlining workflow, monitoring social, and managing content.
The practice of using predictive analytics for marketing is becoming much more commonplace, but, in many ways, this field is still immature. Marketers are using analytics to identify new prospects, qualify leads, predict close rates, and optimize pricing, but there are still many ways to refine these methods -- along with many pitfalls to avoid.
Download this white paper to learn how to win the B2B marketing analytics poker game.