• Through 2015, 85% of Fortune 500 organizations will be unable to exploit big data for competitive advantage.
  • By 2015, at least 20% of all cloud services will be consumed via internal or external cloud service brokerages, rather than directly, up from less than 5% today.
  • Through 2015, 80% of social business efforts will not achieve the intended benefits due to inadequate leadership and an overemphasis on technology.
  • By 2020, 75% of enterprises’ information security budgets will be allocated for rapid detection and response approaches, up from less than 10% in 2012.
  • By 2016, 20% of enterprise bring your own device (BYOD) programs will fail due to deployment of mobile device management measures that are too restrictive.

Business analytics — solutions used to build analysis models and simulations to create scenarios, understand realities and predict future states. Business analytics includes data mining, predictive analytics, applied analytics and statistics, and is delivered as an application suitable for a business user.
Business intelligence — leverage technology and best practices to deliver management insight from enterprise applications and data. Combine business intelligence tools and applications with effective structure, quality improvement and information governance and learn to maximize payback while minimizing risk.

4 thoughts on “Gartner

  1. shinichi Post author

    Gartner spews jargon soup

    XC not SXC

    Gartner is drooling word soup after a clear overdose on jargon, in a new report that we can’t make much sense of.

    We think it’s something about improving businesses by getting people to work with each other in a virtual environment. Of course, the unique Gartnerese for such a suggestion is “cross-functional communication and collaboration”. If you think that was a mouthful, take a look at the rest of the release.

    Because regular collaboration is not good enough, CIOs should embrace “extreme collaboration” (XC) [sic], which Gartner claims is a ‘new operating model’.

    XC, Gartner would have us misunderstand, is enabled by “combing four nexus forces” into a pattern, because having your nexus forces tangled looks messy and unprofessional. This can “dramatically change the way people behave, communicate, work together and maintain relationships”.

    Janelle Hill, VP at Gartner. claims that collaboration is a critical activity in structured and unstructured business processes. An XC environment is “essentially a virtual war room or crisis centre”, where people can come together to collaboratively work on a shared purpose.

    Because the environment can be available 24/7 people can work when, where and how they need to meet shared goals and outcomes.

    Gartner later says that businesses should create a ‘tweet jam’, which is a cross between raspberry and whale. Once the tweet jam has been left to set, the analyst house advises monitoring workers to make sure they don’t eat it all.

    *Here’s Gartner’s definition:

    “We use the term XC to describe a new operating model as well as a behavior — a collaboration style. To succeed as a new operating model, XC must accomplish three things:

    “Elevate the human sensory experience in the virtual space

    “Enable participants to find and reach each other to form and enhance relationships, breaking through real or perceived barriers (such as organisational alignment, reporting relationships, geography, time zones and even language)

    “Leverage machines into the collaboration (that is, enable machine-to-machine and machine-to-human interaction)”

  2. shinichi Post author

    Big Data. Big Strategy. Big Results.

    The data storage conversation, once a tale of megabytes and gigabytes, has quickly moved to terabytes, petabytes, exabytes, and even zettabytes in some industries. That’s good; more data = more information and more business value. But big results require a big strategy for collecting, cleansing and correlating, and analyzing all this data. Information Builders is all about big strategy. Let our solutions for big data help you find that value.

    Big Data Collection

    First you need to assess whether information will provide a return on the investment you make in capturing and storing it. It’s fine to avoid information that costs more than its likely value.

    But when you find the data you need, you need to start collecting it. And you’ll need more than the data itself. You should also include metadata, such as the creator or creating system, the time of creation, the channel on which it was delivered, sentiment contained in plain text, and so on.

    iWay integration solutions from Information Builders help you collect every kind of information, whether you need it in real time or for historical purposes: unstructured data, such as blog posts and social media streams; cloud-based data from web services or API queries; structured data from ERP, CRM, legacy, and other systems; or sensor data, such as RFID or UPC scans and utility gauge readings.

    Big Data Cleansing and Correlation

    Before using big data, you need to make sure it is clean. And it’s inefficient to clean data as it’s being used or when it is already collected into giant data stores. The best thing to do is clean data where it lives: As transactions flow into your systems, as the user clicks “OK” on your website, or as an RSS feed tells you that a new blog post is live.

    You also need to correlate information from multiple systems. For instance, you may improve your one-to-one marketing dramatically if you can tell that “jdoe1968” on your website is “Jonathan Doe” who used a credit card on the phone last month, as well as the guy who identified himself as “Jon Doe” just now when he entered your store in Manhattan.

    iWay data integrity solutions include a data quality solution that can help you create a “data quality firewall,” enabling you to ensure the quality of data before it spreads into other parts of your enterprise. The result is better operational processes, better business intelligence, and – as the data moves into the realm of big data – better correlated and managed big data analytics.

    iWay data integrity solutions also provide master data management (MDM) technology that can correlate disparate information from very different system types – and can be overseen by data stewards, who can even manage data from their mobile devices.

    Big Data Usage: Business Intelligence, Analytics, and Search

    Most companies don’t have a problem with collecting information. In fact, they already have more than they actually use. Even after more than a decade of maturation of the business intelligence (BI), analytics, and enterprise search markets, most people spend hours per week looking for information they need.

    To take advantage of vast amounts of information, give it to users in a way they can understand. Deliver predictive scores to your customer service representatives, so they know which offers are most likely to result in a positive outcome. Provide sophisticated visualization tools to analysts who can see patterns in millions of data points. Deliver a dashboard to your VP of Marketing with social media sentiment scores about that new product launch.

    Let’s face it, if your data is truly big, most people will need help finding the information or the analytics that derive from it – so don’t forget to give them a search engine that’s fully populated with structured data, unstructured data, and links to existing reports and analysis.

    Big Support for Big Players

    Our solutions for big data support high-performance data stores, such as IBM Netezza, Oracle Exadata, SAP HANA, Teradata and Teradata’s Aster Data, EMC Greenplum, HP Vertica, 1010data, ParAccel, and Kognitio, as well as MapReduce databases such Hadoop and MongoDB. For our existing WebFOCUS customers, we also offer WebFOCUS Hyperstage, a highly efficient data store optimized for high volume reporting and analytics.


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