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In marketing, we've reached an inflection point where the volume of data and processes required to run personalization initiatives at scale have outstripped human capability (even highly skilled ones). The micro-targeted customer experience is simply unsustainable with a traditional technology stack leveraging manual data modeling and human-curated, rules-based decisioning.
Posted Dec 12, 2016
For the past several years, in addition to working professionally with commercial enterprise data, I have been the self-designated genealogist in my family. I have learned that there is simply no substitute for first-party data. This truism applies, of course, to my professional and personal work with data.
Posted Dec 06, 2016
Just do it. I'm lovin' it. Diamonds are forever. You know these words in part because they've been very carefully chosen to appeal to audiences. But as Paul Blamire, VP of client experience at Atomic Reach, told an audience at the Gilbane Digital Content Conference, it's about more than the words themselves—it's also about structure, what device people are reading on, and the emotions they evoke when this all works together. According to Blamire, machine learning (ML) and artificial intelligence (AI) can help marketers get the words and their structure right for more people on more devices.
Posted Nov 30, 2016
MTV's first music video, The Buggles' "Video Killed the Radio Star," became stuck in my head when I read that Facebook EMEA VP Nicola Mendelsohn declared that Facebook will be "all video" in 5 years. Mendelsohn said that text has been declining every year and that Facebook users now view videos 8 billion times per day, up from 1 billion a year ago. Apparently, Facebook thinks video will kill off text, sooner rather than later.
Posted Nov 29, 2016
An analysis of nearly 350 content marketing campaigns based on data-driven visualizations by Fractl revealed even traditionally dull industries can leverage visual assets, and that more interesting verticals could add some creativity to their content to boost engagement. Here are the four primary data visualizations big brands and publishers alike have leveraged for engagement in niche verticals, and some takeaways for marketers trying to get into this growing trend.
Posted Nov 18, 2016
The vjoon Storage Engine aims to handle vast amounts of data and restore the database promptly in the event of a failure.
Posted Nov 08, 2016
As Sam Roe wrote in the Columbia Journalism Review (CJR) article, for many years, "investigative reporters have approached stories with a similar mindset: Find the bad guys," and "copy down what people said and leave it at that." Big Data, the big disrupter of all industries, might alter that approach. The collection of massive amounts of data has caused practitioners in many fields to reconsider how they do business.
Posted Oct 11, 2016
Cambridge Semantics, a provider of graph-based Smart Data discovery and exploratory analytic solutions, announced the release of an enhanced product version of its Anzo Smart Data Lake solution with the ability to combine, manage, and analyze all of an enterprise's data in one place.
Posted Sep 29, 2016
Data has emerged as a key player in the marketing and media sphere. There isn't a single member of the six biggest media corporations in the U.S. or the big five global ad agencies that hasn't made data an integral part of its sales pitch to the marketplace. However, there remains some confusion regarding what exactly is meant by "data" and why it's so valuable. As a result of this lack of clarity, I will address what we mean when we talk about it, as well as why it's so valuable for media and marketing companies.
Posted Sep 20, 2016
Small businesses that use data to help make decisions are more strongly growing revenue as compared to their counterparts who use data on a limited basis, according to new research from Exact and Pb7. The findings show that businesses across the U.S. and Europe who lean on data insights reported revenue growth of 21% in the last financial year, as compared to 9% for businesses reporting limited use of data. Data-led businesses also experienced a net profit margin of 22%, versus 14% achieved by small businesses in which data has a limited role.
Posted Aug 25, 2016
In today's digital economy, companies see the revenue potential offered by data monetization and are striving to capitalize on it--preferably before their competitors do. This is particularly evident in the publishing industry, where some companies are already achieving incremental success by leveraging existing data about their consumers to generate new revenue streams. However, the majority of companies still need to determine how they want their organizations to leverage consumer data. More importantly, they need to consider how to synergize data trends emerging around both their existing base of consumers and a target demographic that may present new revenue opportunities, all of which is going through a degree of disruption in the market.
Posted Jul 29, 2016
Two of the biggest challenges in designing and delivering organizational learning are determining what content your learners most need and want, and deciding what courses to develop and offer based on learner preferences and organizational needs. Get these two challenges right, and your organization wins with engaged learners who can move the company forward. Get them wrong, and you've wasted money and effort while alienating your learners.
Posted Jul 26, 2016
During the great California gold rush, early prospectors sifted through rocks and streams in the hopes of finding a fortune. But bigger hauls were often claimed by going below the surface and digging deeply into mines, where a treasure trove of gold lay waiting to be unearthed. The gold rush may be ancient history, but there's still potential treasure to be tapped--and crises that can be prevented too-by companies that are willing to delve deep into their dark data.
Posted Jun 27, 2016
The Paris terrorist attacks in November 2015 caused a seismic shift in many areas, including media discussions of Big Data, which now focus on the Internet of Things (IoT). At first, it may seem difficult to understand how the IoT and terrorism are related, but security involves both a nation's borders and its data. These concerns are prompting new conversations about the IoT's role in the future of the Big Data landscape.
Posted May 10, 2016
Xillio, expert in the analysis, transformation and migration of unstructured data, announced version 3.0 of its Content ETL Platform. The new version of the platform is based on a completely new architecture including a new scripting language, which aims to make the platform much more stable and scalable. Also introduced in this version are the Universal Data Model and a new database (MongoDB). The platform is prepared to deal with the growing amount of content, and allows organizations to make quick changes in their information landscape.
Posted Apr 14, 2016
When the University of California-Berkeley's (UC-Berkeley) School of Information asked 43 industry professionals for their definition of "Big Data" in 2014, it received 43 different answers. Most answers touched on the "three V" parameters of Big Data popularized by Gartner, Inc.: high-volume, high-velocity, and high-variety information assets requiring advanced forms of information processing to fully unlock their potential.
Posted Feb 24, 2016
Information Builders, a provider of business intelligence (BI) and analytics, information integrity, and data integration solutions, announced iWay Hadoop Data Manager, a modern, native approach to Hadoop-based data integration and management that aims to ensure high levels of capability, compatibility, and flexibility.
Posted Feb 23, 2016
Data is all around us whether we use it or we are part of it. More than another trend, data is the way to move with agility and make every step and achievement tangible for those who do not see or believe it. One of the most transformational and accelerating factors of digitization is precisely how data is considered, leveraged, valued, and distilled. As data mining is not new it has become more than just a back office type of activity. It is all about turning facts into more than facts, figures into more than figures, and content into more than content.
Posted Feb 19, 2016
At Cxense Experience Americas, new data from a survey by Cxense, a provider of real-time data management and personalization solutions, found publishers understand the critical need for data for their business, but many still lag behind on using it to improve user experiences and digital revenue.
Posted Nov 17, 2015
Cambridge Semantics, a provider of smart data solutions driven by semantic web technology, announced that it has joined the Google for Work Partner Program as a Google Cloud Platform Technology Partner. Cambridge Semantics' customers and partners require solutions that can adapt to dynamic infrastructures and this relationship allows the company to extend its robust smart data solutions to organizations that want to leverage Google Cloud Platform for a flexible and large-scale data platform.
Posted Oct 06, 2015
Apervi, a data engineering company, announced that its flagship product, Apervi Conflux, a full-featured big data integration and orchestration platform, now offers strong streaming support, and solution accelerators to solve key use cases.
Posted Oct 01, 2015
Cambridge Semantics, a provider of smart data solutions driven by semantic web technology, announced an alliance with MarkLogic Corporation, an enterprise NoSQL database platform company. The companies say the combination of technologies created by this alliance enables organizations to rapidly store, access, visualize, and act upon diverse data to create scalable, semantic-driven data management and investigative analytics applications at a fraction of the time and cost of traditional approaches.
Posted Sep 29, 2015
Marketers have long been plagued by problems related to attribution and accurately calculating ROI. How do umbrella marketers know if their ad worked, or it just happened to rain that day, creating a spike in sales? AOL hopes to help with that. In a blog post, AOL announced, "Using our one-of-a-kind machine-learning model, the platform considers thousands of variables to accurately assign credit across every touch point - online, TV, mobile, catalog, direct mail, and more - that might ultimately lead to a desired customer action." This will be available as part of ONE by AOL: Attribution or standalone in Convertro.
Posted Jul 14, 2015