Boost Your Digital Intelligence With Big Data

Holger Kisker

But Avoid Ending Up With A Zoo Of Individual Big Data Solutions

We are beyond the point of struggling over the definition of big data. That doesn’t mean that we've resolved all of the confusion that surrounds the term, but companies today are instead struggling with the question of how to actually get started with big data.

28% of all companies are planning a big data project in 2014.

According to Forrester's Business Technographics™ Global Data And Analytics Survey, 2014, 28% of the more than 1600 responding companies globally are planning a Big Data project this year. More details and how this splits between IT and Business driven projects can be found in our new Forrester Report ‘Reset On Big Data’.

Or join our Forrester Forum For Technology Leaders in London, June 12&13, 2014 to hear and discuss with us directly what Big Data projects your peers are planning, what challenges they are facing and what goals they target to achieve.

Big data can mean different technologies.

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Are You Ready To Outsource Your Agile Modern Application Delivery?

Diego Lo Giudice

Our bi-yearly Forrester Agile survey suggests that Agile development (or simply "Agile") continues to see consistent, strong adoption. However, the same survey data shows that only a small percentage of firms are outsourcing Agile application development due to a lack of experience with the development sourcing approaches and governance models needed to make it work. Successfully outsourcing Agile development, either fully or partially, involves redefining roles and responsibilities, change management processes, metrics and SLAs, service descriptions, and other contractual elements. Merely using traditional outsourcing language and practices risks jeopardizing the benefits of Agile. There is no single way of doing this right.  

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Cloud Is Becoming A Key Feature Of The BI And Analytics Landscape

Martha Bennett

“Business Intelligence in the cloud? You’ve got to be joking!” That’s the response I got when I recently asked a client whether they’d considered availing themselves of a software-as-a-service (SaaS) solution to meet a particular BI need. Well, I wasn’t joking. There are many scenarios when it makes sense to turn to the cloud for a BI solution, and increasing numbers of organizations are indeed doing so. Indications are also that companies are taking a pragmatic approach to cloud BI, headlines to the contrary notwithstanding. Forrester has found that:

·         Less than one third of organizations have no plans for cloud BI. When we asked respondents in our Forrsights Software Survey Q4 2013 whether they were using SaaS BI in the cloud, or were intending to do so, not even one third declared that they had no plans. Of the rest, 34% were already using cloud BI, and 31% had cloud in their BI plans for the next two years.  But it’s not a case of either/or: the majority of those who’ve either already adopted cloud BI or are intending to do so are using the SaaS system to complement their existing BI and analytics capabilities. Still, it’s worth noting that 12% of survey respondents had already replaced most or all or their existing BI systems with SaaS, and a further 16% were intending to do so.

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What Is Customer Success Management And Why Is It Important

Kate Leggett

I attended the Gainsight Pulse conference in San Francisco on May 14 which is a unique event for customer success managers to network, learn best practices, and understand the value of this role. You could feel the energy of the 900+ conference members, fueled by the fantastic 115 speaker roster featuring luminaries like Malcolm Gladwell, venture capital firms like Battery Ventures, Bain Capital Ventures, and Summit Partners, and companies like Salesforce, Marketo, LinkedIn, Zuora, Brainshark, Bazaarvoice, Evernote, Zendesk, Xactly, Box and many, many more. So, the question is what is customer success, why is it important, and why now?

Why now?

The subscription economy - where products are purchased as services - has tipped. This is because monthly operational costs are often easier to rationalize than large capital expenditures. Industry segments like media and entertainment have moved to a subscription model. Other industries like publishing, computer storage are moving in this direction. This move to a subscription based delivery model is evident in B2B software, as highlighted in Liz Herbert’s TechRadar analysis of the SaaS market. Some software categories like SFA, eLearning, human capital management are almost exclusively sold via the SaaS delivery model. Others - like collaboration, customer service software and marketing automation software – are heading that way.

What is customer success management?

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Tibco Buys Jaspersoft: A Deal With Transformative Potential

Martha Bennett

Since Tibco acquired Jaspersoft on April 28th, 2014, I keep being asked the question: “Will this deal change the BI and analytics landscape?” (If you missed the announcement, here’s the press release.)

The short answer is: it could. The longer answer goes something like this: Jaspersoft and Tibco Spotfire complement each other nicely; Jaspersoft brings ETL and embedded BI to the table, whereas Spotfire has superior data analysis, discovery, and visualization capabilities. Jaspersoft’s open source business model provides Tibco with a different path to market, and Jaspersoft can benefit from Tibco’s corporate relationships and sales infrastructure. And with its utility-based cloud service, Jaspersoft also adds another option to Spotfire’s SaaS BI offering.    

But that’s only the narrow view: once you take into consideration Tibco’s history (the hint’s in the name - “The Information Bus Company”) and the more recent string of acquisitions, a much larger potential story emerges. Starting with Spotfire in 2007, Tibco has assembled a powerful set of capabilities, including (but not limited to) analytics, data management, event processing, and related technologies such as customer loyalty management and mapping. If Tibco manages to leverage all of its assets in a way that provides enterprises with a flexible and agile integrated platform that helps them turn their data into actionable information, it will be a powerful new force that has the potential of changing enterprise BI platforms market.

To get there, Tibco has a number of challenges to address. On a tactical basis, it’s all about making the Jaspersoft acquisition work:

  • Retaining the talent
  • Making it easy for clients and prospects to engage with both companies
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Sorry, Kids: APIs Have Not And Will Not Kill SOA

Randy Heffner

As I move about the industry talking about APIs (application programming interfaces) and the API economy — which hold important and transformative business opportunities — I’m frequently confronted with disparaging remarks about SOA (service-oriented architecture), as if it’s passé, gone, finito. It’s often in the way of (uninformed) assumptions about SOA. I hear things like, “SOA failed because it was too difficult” or “People do REST APIs now, they don’t do SOA” or other such bunk.

I’ll be the first to extol the importance and benefits of APIs, but the tales of SOA’s failure and demise are simply wrong (I really do like APIs; see this report). I had a powerful reminder of all this while attending IBM’s IMPACT conference this week. First off, I arrived late to one customer’s plain-vanilla “this is our enterprise SOA journey” session only to be refused entry because the room was over capacity. Glancing over the conference program, there were at least eight such sessions representing four continents and at least five vertical industries. I attended five of them and also had lunch with another SOA leader. The stories could all be summarized by the following plot line:

  • We saw the value in SOA. Whether the need was multichannel customer engagement, faster time-to-market, retiring legacy, getting past complex and costly point-to-point integration, dealing with duplicate applications, or some other business-technology problem, a core team recognized that SOA could make things better.
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Apps Are Blind — Use Sensors To Make Them See

Mike Gualtieri

Most apps are dead boring. Sensors can help add some zing. Sensors are data collectors that measure physical properties of the real-world such as location, pressure, humidity, touch, voice, and much more. You can find sensors just about anywhere these days, most obviously in mobile devices that have accelerometers, GPS, microphones, and more. There is also the Internet of Things (IoT) that refers to the proliferation of Internet connected and accessible sensors expanding into every corner of humanity. But, most applications barely use them to the fullest extent possible. Data from sensors can help make your apps predictive to impress customers, make workers more efficient, and boost your career as an application developer.

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A common denominator for pricing and negotiating Business Intelligence (BI) and Analytics software

Boris Evelson

BI and analytics software packaging and pricing are a Wild West with few common practices among the vendors. Comparing and contrasting vendor prices and negotiating with vendors is challenging because

  • Few vendors publish list prices, so when a vendor tells you you are getting a certain discount you can’t really verify whether the discount numbers are valid or not.
  • Vendors base their prices on multiple variables such as
    • Total number of users
    • Concurrent users
    • User types
    • Connectivity to certain types of data sources
    • Number of CPU cores or sockets
    • CPU clock speed
    • Amount of RAM
    • Server Operating System (OS)
    • Environments such as development, test, QA (quality assurance), UAT (user acceptance testing), production, and DR (disaster recovery)
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Digital Experience Delivery Creates Many Organizational Headaches

Anjali Yakkundi

Forrester recently surveyed 148 technology, marketing, and business professionals with decision-making roles in digital experience (DX) delivery technologies, and asked them about their strategies for the coming 12 months. In our recently published report, one of the more interesting trends we found was the “people” issues remain top of mind for most organizations. Our qualitative and inquiry data backs this up, as we often here that people, process, and cultural issues (not technology issues) have stifled progress towards delivering great digital customer experiences.

Our survey found that organizations were concerned about people issues such as:

  • Dividing up work between different groups. Digital experience has moved from a purely marketing centric function, to a decidedly cross business issue that touches everyone in the organization. This includes technology management, business, marketing, and sales groups. But this cross-business shift toward digital experience delivery presents significant challenges around coordinating work between various groups. Accordingly, this was the number one people-related pain point: 60% of respondents said dividing roles and responsibilities between marketing, technology management, and the business was their top challenge.
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What Do Business Intelligence Consultants Mean By “Solutions”?

Boris Evelson

Management consultants and business intelligence, analytics and big data system integrations often use the terms accelerators, blueprints, solutions, frameworks, and products to show off their industry and business domain (sales, marketing, finance, HR, etc) expertise, experience and specialization. Unfortunately, they often use these terms synonymously, while in pragmatic reality meanings vary quite widely. Here’s our pragmatic take on the tangible reality behind the terms (in the increasing order of comprehensiveness):

  • Fameworks. Often little more than a collection of best practices and lessons learned from multiple client engagements. These can sometimes shave off 5%-10% of a project time/effort mainly by enabling buyers to learn from the mistakes others already made and not repeating them.
  • Solution Accelerators. Aka Blueprints, these are usually a collection of deliverables, content and other artifacts from prior client engagements. Such artifacts could be in the form of data connectors, transformation logic, data models, metrics, reports and dashboards, but they are often little more than existing deliverables that can be cut/pasted or otherwise leveraged in a new client engagement. Similar to Frameworks, Solution Accelerators often come with a set of best practices. Solution Accelerators can help you hit the ground running and rather than starting from scratch, find yourself 10%-20% into a project.
  • Solutions. A step above Solution Accelerators, Solutions prepackage artifacts from prior client engagements, by cleansing and stripping them of proprietary content and/or irrelevant info. Count on shaving 20% to 30% off the effort.
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