Curated for content, computing, data, information, and digital experience professionals

Category: Marketing & e-commerce (Page 39 of 77)

Making big data analytics accessible to marketers

The recent announcement of SAS Visual Analytics highlights four important characteristics of big data that are key to the ability of marketing organizations to use big analytic data effectively:

  • Visualization is a challenge for big data analysis and we’ll continue to see new approaches to presenting and interacting with it. Better visualization tools are necessary not just because those who aren’t data scientists need to understand and work with the data, but because the increased efficiency and time-to-reaction to the data is critical in many cases – especially for marketers who need to react with lightening speed to current user experiences.
  • In case it isn’t obvious, visualization tools need to work where marketers can access them on web and mobile platforms.
  • In-memory data processing is necessary to support the required speed of analysis. This is still rare.
  • Big data is not only about unstructured data. Relational data and database tools are still important for incorporating structured data.

SAS is far from the only company driving new big data analytic technology, but they are the biggest and seem determined to stay on the front edge.

Why marketing is the next big money sector in technology

Ajay Agarwal from Bain Capital Ventures predicts that because of the confluence of big data and marketing Marketing is the next big money sector in technology and will lead to several new multi-billion dollar companies. His post is succinct and convincing, but there are additional reasons to believe he is correct.

Marketing spending more on IT than IT

Ajay opens his post with a quote from Gartner Group: “By 2017, a CMO will spend more on IT than the CIO”. It is difficult to judge this prediction without evaluating the supporting research, but it doesn’t sound unreasonable and the trend is unmistakable. Our own experience as conference organizers and consultants offers strong support for the trend. We cover the use of web, mobile, and content technologies for enterprise applications, and our audience has historically been 50% IT and 50% line of business or departmental. Since at least 2008 there has been a pronounced and steady increase in the percentage of marketers in our audience, so that 40% or more of attendees are now either in marketing, or in IT but assigned to marketing projects – this is about double what it was in earlier years. While web content management vendors have moved aggressively to incorporate marketing-focused capabilities and are now broadly positioned as hubs for customer engagement, the real driver is the success of the web. Corporate web sites have become the organizations’ new front door; companies have recognized this; and marketers are demanding tools to manage the visitor experience. Even during the peak of the recession spending on web content management, especially for marketing applications, was strong.

“Cloud” computing and workforce demographics have also beefed up marketers’ mojo. The increased ability to experiment and deploy applications without the administrative overhead and cost of IT or of software licenses has encouraged marketers to learn more about the technology tools they need to perform and helped instill the confidence necessary to take more control over technology purchases. A younger more tech-savvy workforce adds additional assertiveness to marketing (and all) departments. Now if only marketers had more data scientists and statisticians to work with…

Big data and big analytics

Big data has not caused, or contributed very much, to the increase in marketing spending to-date. Certainly there are very large companies spending lots of money on analyzing vast amounts of customer data from multiple sources, but most companies still don’t have enough data to warrant the effort of implementing big data technologies and most technology vendors don’t yet support big data technologies at all, or sufficiently. I agree with Ajay though that the “several multi-billion dollar” marketing technology companies that may emerge will have to have core big data processing and analytic strengths.

And not just because of the volume. One of the main reasons for the enterprise software bias for back office applications was that front office applications beyond simple process automation and contact data collection were just too difficult because they required processing unstructured, or semi-structured, data. Big data technologies don’t address all the challenges of processing unstructured data, but they take us a long way as tools to manage it.

The level of investment in this space is much greater than most realize. Ajay is right to invest in it, but he is not alone.

Adobe Acquires Auditude

Adobe Systems Incorporated announced that it has acquired privately held Auditude Inc., a provider of video ad management and monetization technologies for premium publishers and media companies. Supporting video ad management and monetization delivered via an open architecture platform, Auditude lets premium publishers and media companies create a high-quality, TV-like, multi-device advertising experience that is an essential component to viewer loyalty and attracting major brand advertisers. features of the Auditude platform include: easy integration into content management and other video operations systems; precise targeting capabilities; flexible ad placement and ad product offerings; intuitive sales rights management; access to and control of incremental advertising demand; and cross-device workflow.  http://www.auditude.com/ http://www.adobe.com/

Adobe Announces Availability of AudienceResearch

Adobe Systems Incorporated announced the immediate availability of Adobe AudienceResearch, a new audience measurement tool that provides publishers and digital marketers with certified metrics on the size and engagement of digital audiences for websites, mobile applications and digital magazine editions. These key metrics are captured by Adobe SiteCatalyst, an online analytics application, and provide publishers with the information critical to attract advertising dollars. AudienceResearch is available at no additional cost to SiteCatalyst customers. In conjunction with AudienceResearch, the company also announced the general availability of the Adobe Audience Certification Program. Under this program, publishers become Adobe Certified Publishers, meaning Adobe has certified that their digital audience data meets certain criteria regarding the accuracy of data collection and reporting. Adobe Certified Publishers can contribute their data to the AudienceResearch tool. AudienceResearch provides census-based measurement of metrics, meaning that the metrics are generated by counting all relevant traffic, a method considered more accurate and representative of actual traffic and behavior than panel-based methods. Panel-based methods monitor the behavior of a small group of volunteer consumers (i.e. the panel) and then use statistics to generate estimate metrics. The statistically generated results from panel-based estimates often differ significantly from census-based results and have been a point of controversy in the advertising industry. Additionally, publishers using the Adobe Digital Publishing Suite to create digital magazine editions for tablet devices may elect to have their metrics automatically certified as analytics is natively built into the Digital Publishing Suite. This native integration ensures the integrity of data collection. http://www.adobe.com/

Oracle Buys Endeca

Oracle announced that it has entered into an agreement to acquire Endeca Technologies, Inc., a provider of unstructured data management, web commerce and business intelligence solutions. A privately-held company based in Cambridge, Massachusetts, Endeca provides products that help companies analyze unstructured data, gain better business intelligence, and deliver a better customer experience. Endeca’s core technology, the MDEX Engine, is designed to enable enterprises to correlate and analyze unstructured data. Endeca InFront is a leading customer experience management platform that enables businesses to deliver targeted and relevant customer experiences online with merchandising and content targeting tools for web commerce. Endeca Latitude is a technology platform that enables businesses to rapidly develop analytic applications bringing information from many unstructured and structured information sources together. The combination of Oracle and Endeca is expected to create a comprehensive technology platform to process, store, manage, search and analyze structured and unstructured information together. The combination of Oracle ATG Commerce and Endeca InFront is expected to enhance cross-channel commerce, merchandising, and online customer experiences. The combination of Oracle Business Intelligence and Endeca Latitude is expected to provide a comprehensive business intelligence foundation and analytic applications, bringing together information from structured and unstructured data sources. The transaction is subject to customary closing conditions and is expected to close before the end of 2011. Until the deal closes, each company will continue to operate independently. http://www.oracle.com/ http://www.endeca.com

Cloud-Based Marketing Analytics Suite Launched By IBM

IBM has announced a cloud-based Web analytics and digital marketing suite aimed at helping its business customers automate online marketing campaigns across digital channels, such as Websites, social media networks and mobile phones. The new IBM offering combines software from the acquisitions of Coremetrics and Unica and provides analytics that help companies fine-tune marketing campaigns and create personalised offers in real-time across online channels. For example, businesses would be able to evaluate Facebook or Twitter activity, and offer tailored promotions delivered to their mobile devices on the fly. IBM’s suite also enables businesses to deliver and fine-tune digital marketing programmes based on what customers are doing offline. For instance, a consumer who purchased a new tablet in a brick-and-mortar store would receive special offers via email to purchase tablet accessories. http://www.ibm.com

Adobe Announces Adobe Tag Manager for the Online Marketing Suite

Adobe Systems Incorporated announced Adobe Tag Manager for the Adobe Online Marketing Suite, powered by Omniture. This new solution provides a tag management framework for the entire Adobe Online Marketing Suite as well as for other digital marketing technologies. Capturing anonymous audience data is typically done using a tag (a small piece of JavaScript or HTML image call) placed in a piece of content or on a Web page. Various applications for capturing and taking action on analytics data usually require their own tags. The process of implementing and maintaining separate tags on a Web page and across partners such as analytics providers, site and content optimization vendors, ad servers, ad networks, affiliate networks and audience measurement firms often requires significant technical skills to implement or change and can become costly, time consuming and error prone. Adobe Tag Manager solves these industry problems with a tag management framework that serves as a tag container, housing the tags that an Adobe customer may require, including all Online Marketing Suite tags and third-party tags. While some customers may deploy a new standalone tag container, Adobe SiteCatalyst customers can deploy the tag container without having to change their existing SiteCatalyst page tag. The tags within the container are managed through an administrative user interface where the customer can insert or remove tags (from Adobe or other partners) without making changes to a website. http://www.adobe.com/

Smart Content and the Pull of Search Engine Optimization

One of the conclusions of our report Smart Content in the Enterprise (forthcoming next week) is how a little bit of enrichment goes a long way. It’s important to build on your XML infrastructure, enrich your content a little bit (to the extent that your business environment is able to support), and expect to iterate over time.

Consider what happened at Citrix, reported in our case study Optimizing the Customer Experience at Citrix: Restructuring Documentation and Training for Web Delivery. The company had adopted DITA for structured publishing several years ago. Yet just repurposing the content in product manuals for print and electronic distribution, and publishing the same information as HTML and PDF documents, did not change the customer experience.

A few years ago, Citrix information specialists had a key insight: customers expected to find support information by googling the web. To be sure, there was a lot of content about various Citrix products out in cyberspace, but very little of it came directly from Citrix. Consequently the most popular solutions available via web-wide searching were not always reliable, and the detailed information from Citrix (buried in their own manuals) was rarely found.

What did Citrix do? Despite limited resources, the documentation group began to add search metadata to the product manuals. With DITA, there was already a predefined structure for topics, used to define sections, chapters, and manuals. Authors and editors could simply include additional tagged metadata that identified and classified the contents – and thus expose the information to Google and other web-wide search engines.

Nor was there a lot of time or many resources for up-front design and detailed analysis. To paraphrase a perceptive information architect we interviewed, “Getting started was a lot like throwing the stuff against a wall to see what sticks.” At first tags simply summarized existing chapter and section headings. Significantly, this was a good enough place to start.

Specifically, once Citrix was able to join the online conversation with its customers, it was also able to begin tracking popular search terms. Then over time and with successive product releases, the documentation group was able to add additional tagged metadata and provide ever more focused (and granular) content components.

What does this mean for developing smart content and leveraging the benefits of XML tagging? Certainly the more precise your content enrichment, the more findable your information is going to be. When considering the business benefits of search engine optimization, the quality of your tagging can always improve over time. But as a simple value proposition, getting started is the critical first step.

« Older posts Newer posts »

© 2025 The Gilbane Advisor

Theme by Anders NorenUp ↑