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Analytics News & Analysis

5 Technology Skills Every Marketer Needs Today

Marketers today are at a serious crossroads. Take this recent Gartner report, which shows that CMOs will spend more on IT than CIOs by 2017. Few marketers are technologists or IT specialists, but technology is changing everything about what they do and how they do it. The 21st century marketing landscape requires a whole new way of thinking about interacting with customers, adapting to technologies and translating insights into a return on investment for the entire organization. How can marketing professionals supplement their existing skill sets and get up to speed quickly and dynamically?

Q1 Planning: Top Marketing Technology, Social Business Conferences & Events (08-Jan-15)

Our industry event planner gives you the heads-up on what key industry events are coming around the corner. If we've missed something, don't hesitate to add your event to the list. (You can also view the full calendar here.)

You're Invited: Total Economic Impact of a Workflow Automation Solution

Join CMSWire and Nintex on January 13th for a one-hour webinar to explore a Forrester study on effective workflow automation results.

> Register Now

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New Year's Resolutions: An Annual Source of Anger, Disgust

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Do New Year's resolutions make us angry, annoyed and even disgusted? If you’ve stepped into an over-crowded gym this week, the easy answer is yes.

The regulars are disturbed that their “homes” have been invaded by the crowd that has pledged to finally lose weight. And the resolution makers are frustrated that they have to get off of the couch and go do something.

The Scoop on Pinterest Analytics and Engaging Pinterest Followers

It's easy for people to spend time on popular social media platforms — and, increasingly, the platform of choice is Pinterest.

The growing use of the image sharing social media platform has created a high quality of influence on retail and branding. And that means it's essential for marketers to learn the basics of Pinterest Analytics.

Examining repins and researching follower interest with Pinterest Analytics can make Pinterest engagement more meaningful, help you increase online activity and enhance the digital experience for your customers.

CMSWire Top Contributors 2014 - Joanna Schloss

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If you're interested in topics like big data analytics, business intelligence, business analytics and data warehousing, then you have a friend in Joanna Schloss. In her role as subject matter expert in the Dell Center of Excellence, Joanna helps clients deal with the challenges of data and information management, including such things as managing multiple platforms, applications systems and analytic environments. We're fortunate to have her share her expertise on CMSWire, where she regularly engages our readers with her thought-provoking posts.

CMSWire's Top 10 Hits of 2014: Big Data

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If you’re tired of hearing about what a big deal big data is going to become, we’ve got good news to share — that conversation is now over.

Big data has gone mainstream, say the experts. Ditto for big data crunching Hadoop.

Forrester analyst Mike Gualtieri made it official last month when he declared that the economic benefits of Hadoop will make adoption essential, not optional, for enterprises as they move into 2015.

And putting dollars aside, big data analytics are quickly becoming part of everyone’s job, says Tom Davenport, a Distinguished Professor of Information Technology and Management at Babson College and author of Big Data at Work. He asserts that we are entering the Analytics 3.0 era, in which insights can be delivered anytime you need them via any device.

A Look Back: Battling Information Management Chaos

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If ‘X’ represents the mass of information in your enterprise, it also represents the size of the problem that you currently have with information management. In other words, the more information you have in your enterprise, the bigger your problem. And odds are it has gotten worse in the past 12 months.

That's not to say that there hasn't been a flurry of new technologies available to help you deal with this information overload. In the big data space alone, the explosion in the number of solutions available is staggering. It's even more mind blowing if you add in all those that have emerged in content management, analytics, business intelligence, cloud storage, mobile and so forth.

Companies Embrace Advanced Analytics But Not Big Data

Advanced analytics is becoming an enterprise essential. But most companies appear content to stick with the benefits of the "small data." the technology generates rather than make the necessary investments to capitalize on big data.

That's true even though a majority agree that big data is important, according to a new study commissioned by Dell and the International Institute for Analytics.

The study defines advanced analytics as predictive and prescriptive analytics rather than simple reporting.

Do Analytics Matter for B2B Marketers?

B2B marketers use analytics and gain value from them in their campaigns and marketing programs, a survey released today claims.

But earlier this year, another study claimed otherwise. It found only about a third of organizational projects include marketing analytics. And it further claimed there has been no significant gains for how marketing analytics contribute to a company's overall performance.

Who do you believe? Your call.

Today is ON24's day in the sun. The webinar-based marketing solutions provider based its findings on a survey distributed last month to 221 US-based B2B marketers experienced with marketing analytics. Redshift Research administered the survey and ON24 released the results today.

Q1 Planning: Top Marketing Technology, Social Business Conferences & Events (18-Dec-14)

Our industry event planner gives you the heads-up on what key industry events are coming around the corner. If we've missed something, don't hesitate to add your event to the list. (You can also view the full calendar here.)

You're Invited: Total Economic Impact of a Workflow Automation Solution

Join CMSWire and Nintex on January 13th for a one-hour webinar to explore a Forrester study on effective workflow automation results.

> Register Now

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How Google Analytics Can Make Cross Device Marketing Easier

In an early post on tag management systems, I noted how these systems would provide a great flexibility in measuring customer behavior in the growing information anywhere and anytime environment. Laptops with Wi-Fi access have supplanted desktops in sales popularity, while mobile devices are as essential now as a wallet or purse. Consumers can access retailer information anywhere and anytime.

One driver of the growing need for cross device analysis is webrooming and showrooming, both retail-related activities stemming from holiday shopper activity during past few seasons. Webrooming is the retail customer behavior of researching products and services while in a store. It differs from showrooming, an in-store behavior in which customers compare prices and research features, leading to a purchase online.

Both trends signal the need to understand foot traffic that is likely to become web traffic, including traffic from customers researching products in the privacy of a home.

The fact is that it is critical to add an analytics solutions to accurately capture that traffic. And adding a User ID in a Google Analytics script captures the best cross device behavior to enhance a marketing strategy.

Is Teradata Buying its Way into Big Data Leadership?

Teradata is serious about big data. In fact, when it comes to Hadoop, it wants to be the one-stop shop for its large customer base. Aside from making its existing products more powerful and more capable, it recently strengthened its support partnerships with independent Hadoop distro providers MapR and Cloudera, and signaled a continued commitment to Hortonworks, which in now publicly traded as Nasdaq:HDP.

Today the company announced that it has purchase RainStor, a provider of patented Enterprise archiving solutions around Hadoop.

Using Benchmark Reporting In Google Analytics

Any coach of a sports team at the start of a season will tell you that he wants his team to reach the championship. Reaching that pinnacle means benchmarking your team’s performance.

In the digital marketing world, managers who use Google Analytics are starting to feel a bit more like a sports coach. In September Google introduced a new benchmark reporting feature for its Google Analytics solution.

This benchmark reporting enhances decision making on analytics results.

Who Will Pay for Your Digital Analytics Program Next Year?

Central marketing or digital organizations are not necessarily funding digital analytics programs anymore. At least this is what I see with our clients and in a sampling of digital analytics programs.

Instead, funds are coming from the potential consumers of the data, reports, dashboards, analyses and recommendations that compose the typical digital analytics program product and service set.

And this has significant implications:

  1. You need to be customer focused…not simply focused on analytics for the sake of analytics
  2. You need to make multiple business cases to continue to do the work you want to do
  3. You need to sell the value that analytics has to business units that may be comfortable with using their existing methods and vendors (wrong as this may seem)
  4. You need to compete for tight budgets against other service competencies in your organization or agencies from the outside

What's Next for Big Data? Predictions for 2015

Some people believe it takes two full years for students to fully understand and master new concepts. The first year in the cycle, when a new concept is introduced, is considered a learning year. The following year is considered a growth and review year.

The thinking holds that while students technically learn about new concepts during the first year, it’s not until the second year that they can truly begin applying them in an active manner, one that displays measurable growth and development.

In many ways, the landscape of big data at the close of 2014 can be described in similar terms.

Generally speaking, 2014 was a learning year. IT decision makers across all verticals realized they could no longer ignore the changing landscape brought on by growth in the volume, velocity and variety of data. Investments were made and infrastructure was overhauled. After many years of pomp and circumstance, 2014 was the year big data finally become the infrastructure of reality.

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