Business Analytics is the branch of logic dealing with analysis. Business analytics is a term used for more sophisticated forms of business data analysis. Analytics closely resembles statistical analysis and data mining, but tends to be based on physics modeling involving extensive computation.
When the right approach is applied, analytics can drive more effective marketing strategies. While marketers understand the role analytics plays within the organization, most are not leveraging analytics to really drive enterprise performance. We surveyed 100+ business leaders to understand the state of analytics maturity across today’s leading organizations, uncovering common challenges teams are facing in their quest to use data and analytics to deliver a competitive advantage.
What We Uncovered:
- 73% of analytic professionals claim to work for an analytically-driven company
- Only 42% of companies have a strategy for using analytics across the enterprise
- Just 38% of companies share results of their analytic insights outside their department
- 81% of organizations rely on 3rd parties for at least some portion of their analysis
Download the report to learn how marketers, like yourself, view themselves in light of using analytics to drive their business.
Is your well-worn playbook in need of a refresh? What worked best for B2B marketers last year may not help you optimize a moment with a customer or prospect today. All too often, baked in processes get in the way of delighting customers.
If you’re a B2B marketer who wants to be a game changer, you have come to the right place. This reader is for marketers who crave to poke and pull apart the “tried and true”.
Break the cycle of “best practice” rituals and ask yourself these questions:
- When was the last time you made a truly bold move in your marketing?
- Do you have any idea how bad your data problem really is?
-How long will you continue to create sales content nobody uses?
We answer these questions and more- download the free guide today!
Poor rack cable management has proven to many data center operators to be a source of downtime and frustration during moves, adds and changes. It can also lead to data transmission errors, safety hazards, poor cooling efficiency, and a negative overall look and feel of the data center. This paper discuses the benefits of effective rack cable management, provides guidance for cable management within IT racks including high density and networking IT racks, which will improve cable traceability and troubleshooting time while reducing the risk of human error.
IT infrastructure is no longer just supporting the business; it is the business enabler. Infrastructure must support constant business demands for new applications and services with limited budgets and resources. Yet there is limited time to constantly evaluate and integrate hardware, software and networking solutions to meet continuously evolving requirements. Create an automated, dynamic infrastructure that adapts to your business demands with the VCE VxRail™ Appliance.
In every industry today, businesses feel a fierce urgency to become customer-centric. They want to know what they can do to preserve and expand existing customer relationships and attract the best new customers.
Analytics is more important to success than ever before, and it’s a business practice that has momentum. Fifty-eight percent of the respondents in a recent survey published in the MIT Sloan Management Review stated that the use of analytics gave their companies a competitive advantage, up from 37 percent the prior year. Enterprise-scale companies report dramatic successes with analytics.
The Internet of Things is much talked about and fast becoming a fixture in some industries. And the technologies for transformative business applications are at hand. Yet many companies are slow to recognize and act on the opportunities. To explore those business opportunities, the associated implementation challenges, and how companies can accelerate their progress, IIA spoke with Jason Mann, Director of Industry Product Management at SAS.
In the customer service solutions Forrester Wave™ for enterprise organizations, we identified the 11 most significant customer service solutions — eGain, Microsoft, Moxie, Oracle Service Cloud, Oracle Siebel CRM, Pegasystems, Salesforce, SAP Cloud for Service, SAP CRM, SugarCRM, and Verint — and researched, analyzed, and scored them. This report details
our findings on how well each vendor fulfills our criteria and where it stands in relation to other vendor solutions in order to help customer service professionals select the right partner for
their customer service initiatives.
According to Forrester Research, 76% of consumers are using online self-serve to find answers—more than any other support channel, including phone.
And they are no longer just looking for customer support directly on companies’ Facebook or Twitter sites. They are seeking help from their peers for quick and easy answers. Companies are recognizing this social service trend and are using customer communities as a platform to enable customers to socially self-serve. This approach can greatly enhance the overall service experience and reduce escalations to an agent. In looking at social service trends and benefits, it’s important to strategically think about the customer community implementation and planning process.
The Internet of Things (IoT) is connecting our world in ways that were unimaginable 10 years ago—collecting data on everything we do and using it to streamline our daily activities. In doing so, IoT is changing the way that consumers think about service. Service organizations must be prepared to support these new customer expectations to ensure continued satisfaction to strengthen and foster loyalty.
Additionally, IoT is making its way into the enterprise, especially among organizations in industries like utilities, oil and gas, medical devices, manufacturing and telecommunications. Connected devices enable more efficient processes for maintenance and repair by constantly providing information on machines’ performance, environmental conditions, and possible failures. For example, a connected washing machine in a customer’s home could automatically send out an error report to the manufacturer when it experiences a failure. This is where field service management comes in.
This document defines Oracle’s Customer Experience (CX)
Value Equation as the strategic method to identify and measure
the value of organizational CX. This model was originally
documented in “CX Metrics and KPIs – September 2012.”
It has received wide support, and has been the #1 searched hit
and downloaded CX KPI document for 3+ years – a significant
achievement in this industry – in an era where concepts are
replaced daily with the latest, greatest fad.
Since the original publication, I have received significant
feedback that has been overwhelmingly positive, but with a
request to comment on additional topics – most notably: brand
impact, shared services, and Oracle’s Road to Modern. This
updated paper leverages the original work, adds information
around these additional topics and incorporates our continued
For the most part, even companies using sophisticated technology to provide consistent access and answers across channels still view customer service through a traditional lens of serving the needs of the customer—despite its usefulness in marketing, building brand equity, up- and cross-selling and driving loyalty, as well as capturing the voice of the customer for product and service improvement and new product and service ideas. Even when serving customers is seen as a strategic goal for the entire organization, few companies seem to be leveraging customer service as a true organizational
Consumer preference for customer service channels is changing across all ages and demographics. Adoption of digital customer service channels, with an emphasis on self-service channels such as web and mobile, is exploding as consumers expect relevant and seamless omnichannel customer service. However, firms’ technology and staffing plans are not keeping up with consumer demand for digital customer service. This report outlines communication channel customer use and major gaps in contact center technology and operations. It also provides data that will help application development and delivery (AD&D) pros align operations with customer expectations to garner their satisfaction and long-term loyalty.
In the early 2000s, two vastly different businesses—baseball and field service management—began to use advanced statistical analysis to gain an advantage over their competitors. They both revolutionized their respective fields by using statistical knowledge to improve performance. The new approach replaced old models and methods and attained shockingly good results as both set new standards for their respective industries.
In this white paper, you will learn the general concepts behind predictive analytics and how they can be applied to a field service organization. The paper will cover the basic metrics that should be tracked, the use of performance pattern profiles, and how these principles can predict future events.
Download "Cybersecurity Is Essential for M&A Due Diligence" to learn how Security Ratings can help you examine the risk your latest target poses to your information security (and potentially your bottom line).
The new frontier for personalized customer experience: IBM Predictive Customer Intelligence
This paper introduces the IBM Predictive Customer Intelligence solution, which is designed to help your company create personalized, relevant experiences for individual customers with a focus on driving new revenue. Along with explaining the architecture of the solution, this paper covers how the solution works.