Published By: MobileIron
Published Date: Feb 17, 2015
Ready or not, the global mobility trend is forcing enterprises to enable a mobile workforce with business productivity tools on any device, regardless of the underlying operating system. As IT is quickly impacted by end-user technology decisions, enterprises can no longer ignore this reality, especially given the explosive global demand for mobile devices. This guide offers practical, step-by-step insight that can help any organization accelerate their journey to becoming a Mobile First enterprise by providing a detailed, best-practice deployment process and recommendations for finding the right enterprise mobility management (EMM) provider.
Fast-moving employees demand access to people, programs and data from anywhere. Power up their productivity with greater portability and connectivity. Begin by downloading “On the go Professional,” a brief by Dell that uncovers the key needs around convenience, connectivity and access required by mobile professionals. The brief also covers technology recommendations for you to consider, such as the robust line of Dell Latitude and Venue devices powered by Intel®, to meet the preferences of your users. Take advantage of the solutions that maximize enterprise productivity and employee satisfaction today. Download the brief now!
Large gaps and loss of productivity challenge the value, agility and cost of IT across the globe. “Exploring Business and IT Friction: Myths and Realities,” outlines key issues that cause friction between business users and IT, such as:
• Gaps in customer satisfaction and the perceived value of services
• Inadequate IT support, which decreases productivity and revenue
• Lack of communication and ownership in how business users and IT work together to identify service levels and technology needs
See what 900 business and IT professionals had to say and get recommendations for change.
It doesn’t matter whether you’re new to Oracle Retail, have an active implementation project that is running or have an existing deployment in production. The same issue applies: You are making a significant investment in the technology and need to develop a reliable and efficient batch schedule.
If you’re new to Oracle Retail, you are no doubt embarking on a major project to improve your competitive position in the retail market. With that in mind, your goals will be to shrink the time-to-market for your retail implementation, lower the reliability risks associated with in-house developed solutions and improve the visibility and control of retail business processes.
In this eBook you will discover a series of recommendations for operating a fail-safe and efficient Oracle Retail operational environment. You will also understand how automation enables you to streamline the execution of your Oracle Retail batch operations and increase the day-to-day efficiency of your operations teams.
Published By: Cognizant
Published Date: Oct 23, 2018
There’s plenty of room in the digital economy for traditional retailers, as long as they shift focus from the products they offer to the experiences they provide, blending the physical and digital worlds to offer distinct and personalized shopping experiences and unleashing the untapped power of emerging new ecosystems.
At the heart of retail’s ongoing transformation is a shift in focus from the point of sale to the point of experience. Retailers that will thrive and prosper in the digital economy will be those that think beyond the products they sell to providing hyper-personalized shopping experiences that surprise and delight the consumer at each interaction, regardless of channel or touchpoint.
This white paper illuminates these strategic imperatives and delivers actionable recommendations to established retailers seeking to convert challenge into opportunity amid growing concern that they should merely concede victory to digitally-native companies.
Published By: Monetate
Published Date: Oct 11, 2018
Monetate Intelligent Recommendations is the only solution that gives merchandisers & digital marketers the power to show contextually relevant product recommendations without burdening IT resources.
Using manually curated or algorithmically-driven recommendations, marketers can easily support even the most complex product catalogs. Our solution filters recommendations based on customer attributes (e.g. shirt size), longitudinal behaviours (e.g. browsing behaviour), and situational context (e.g. product inventory at local stores). Best of all, an orchestration layer intelligently selects which algorithms and which filters to apply in any given situation, for any particular individual.
Published By: Monetate
Published Date: Oct 12, 2018
Product recommendations are a proven way for marketers to drive sales, boosting the revenue potential of every
shopping experience and increasing customer engagement overall. However, most current recommendations tools
have not kept up with the level of personalisation that customers have come to expect, and they often fall short of
the precision that marketing teams need to create meaningful business impact. It may be time to reevaluate whether
your solution is doing all it can to meet the needs of your customers and your team.
Published By: Curalate
Published Date: Aug 16, 2017
Digital technology has completely
changed how we discover products, engage with brands and share our
experiences with others. Amazon revolutionized customer feedback
and product reviews. Social media transformed the way people share
word-of-mouth recommendations, connecting shoppers to off-the-cuff
opinions, compelling visual content and real-life experiences from peers
and influencers they follow and admire. Sure, TV, radio and print ads are
still part of the mix but they hardly carry the same weight as they did in
years passed. This statistic speaks volumes: 92% of consumers trust
peer recommendations over branded advertising. With the advent of
social media and digital technology, brands have a powerful new tool
at their disposal that brings word-of-mouth to the masses: usergenerated
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting.
Both are fueled by a drive for progress, for pushing
boundaries and advancing the status quo. In these fields,
new trends are like a currency. Keeping ahead of the
next big trend means being aware of the next big seller
and allocating all the right resources – fashion design,
manufacturing, and marketing – for maximum impact.
Miss the hype and the next fashion season is bound to
hurt the bottom line.
New trends are also important to marketers because
owning a new trend is a way to differentiate in today’s
fast-moving digital landscape. It’s a way to stand out
from the pack by investing strategically in the right
approaches and technologies at the right time, then
reaping the benefits organically by leading where others
follow. Naturally, making these decisions requires a bit
of trial and error. Nobody has a magic crystal ball that
guarantees success. But as a rule of thumb, the companies
winning in digital marketing are the ones willing to
adopt new technologies while keeping an sharp.
What does it take to be relevant today? In the era of hyper-connectivity, consumers
have become entitled, demanding more control over their experiences and
expecting that marketers use data and insights to create a seamless, relevant brand
experience. Research shows that communications containing relevant information
and offers are the best drivers of brand loyalty and conversions
Context can make or break the communication – and, ultimately, the relationship – between
a consumer and a brand. Today’s consumers expect relevant communications that speak
directly to their needs in the moment. We have the technology today to deliver such messages –
but there are significant barriers to developing relevant, contextual programs of this kind.
Some of the development challenges represent new versions of old challenges. Take data as an
example: it has always been hard to harness data from different sources and to leverage insights in
real time. But today, there are additional opportunities – if not expectations – for marketers to use
contextual data to better reach and engage customers through the optimal channel(s).
Published By: Genesys
Published Date: Jun 13, 2018
Artificial intelligence (AI) can’t replicate the human touch, but it can ease your agents’ burden by handling many simple, repetitive requests. A new Forrester Consulting paper offers a look at the strengths and weaknesses of both AI and humans independently, yet how blending them together can give your customers the seamless end-to-end experience they expect.
See how enterprises around the world use AI to improve customer service and uncover new revenue streams, the challenges they overcame, and why a blended solution with live agents makes sense.
Download the paper to learn three key recommendations on using AI to improve agent productivity, agent satisfaction, and customer satisfaction.
The General Data Protection Regulation – or GDPR – is a European
Union (EU) law that protects the rights of individuals with respect to
their data. Adopted as an EU law in April 2016, organizations that hold
data about any resident of the EU must be compliant by May 2018.
With attention-grabbing fines of €20 million or 4% of global annual
turnover, GDPR commands attention at the highest levels. And despite
the “legalese” that compliance suggests brands utilize, the brands that
balance legal compliance with a human approach will turn GDPR to
This white paper provides a series of actions you can take to make
the most of GDPR to both enhance your customer relationships and
Among all the trends and buzzwords currently shaking up the marketing industry, one concept is emerging as the one
to watch: customer experience (CX). Providing individual customers with the best possible experience is becoming the
top priority at the moment, even to the point where experience outshines product quality(!) as the main differentiator.
This is confirmed by a recent Gartner1
survey, in which 86 percent of participating companies listed customer experience
as the main factor for gaining a competitive advantage, compared with merely 36 percent in 2012.
20% of customers will be responsible for 80% of profit – or
so says The Pareto Principle, also known as the “rule of the
vital few.” So, while marketers are trying hard to increase market
share, they should be equally (or even more) concerned about
nurturing the customer relationships they already have. That
means finding ways to strengthen bonds with your best
customers and figuring out how to turn good customers into
Personalization, truly helpful support, data-driven contextual
marketing, re-engagement strategies, gamification… There’s
an almost overwhelming number of options out there, each
touted as your golden key to an enduring bond with your users.
In the pages that follow, you’ll learn about five strategies to drive
engagement and retention with actionable tips from Selligent
clients – top brands that are at the forefront of creating and
sustaining customer loyalty.
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