TechnoPolitics Podcast: The Pragmatic Definition Of Big Data Explained

Mike Gualtieri

Rowan Curran, Research Associate and TechnoPolitics producer, hosts this episode to ask me (your regular host) about The Pragmatic Definition Of Big Data. Listen (5 mins) to hear the genesis of this new definition of big data and why it is pragmatic and actionable for both business and IT professionals.

 

Podcast: The Pragmatic Definition Of Big Data Explained (5 mins)

 

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Siri Is Shining A Spotlight On Virtual Agents

Kate Leggett

Siri, Apple’s voice-activated virtual agent (VA), has raised the profile of this technology category. Siri provides the right engagement paradigm: ask a question and get an answer - a right answer. Because of Siri, companies focused on increasing customer satisfaction scores to move the needle on customer loyalty often ask “Why can't we offer Siri-like experiences on our web or mobile sites to help customers ask questions in their own words?”

Let's look at the facts: customers today are trained to go online to get answers to their questions by navigating a company’s FAQ list, or by typing in keywords to surface the right piece of content. In fact, 66% of customers use this channel. But at 51%, the satisfaction ratings for this channel are the lowest of all the communication channels that Forrester tracks. It's because keeping content in line with customer demand and making it easily accessible to customers is very hard to do.

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Top 10 BI Predictions For 2013 And Beyond

Boris Evelson

It’s that time of year again, when everyone starts asking for the BI predictions for next year. Good news: We did a pretty good job on the last year’s predictions, and so there’re only a few reasons to update them. Therefore this year we’ll do the predictions in the following manner: base 2013’s predictions mostly on our one-year-old 2012 ones and then use the latest results from Forrester’s Forrsights surveys on BI and big data (as well as other Forrester research from the past year) to confirm or disprove the 2012 predictions and whether they still apply to 2013. If there’s room to add new ones (stay tuned), we’ll do so. So here we go:

#1 (From 2012 prediction #1). The best tool for each BI job trumps IT standards. BI has traditionally been ruled by overinsistence on enterprisewide standards and a single version of the truth. These will continue to be important, but they won’t be the Holy Grail. A purely standards-based approach to addressing most current business requirements is neither flexible nor agile enough to react and adapt to ever-changing information requirements. In 2012 (and now in 2013), expect IT to start embracing agile BI tools, such as ones based on flexible in-memory models, in addition to enterprise-grade BI tools and standards. For information workers who need information anytime and anywhere, agility concerns will trump standards.

  • Verdict. Thumbs up for 2013.
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TechnoPolitics Podcast: Agile Software Is Not The Cat's Meow

Mike Gualtieri

One-Size Software Development Methodologies Do Not Fit All

Dozens of software development methodologies exist, from waterfall to Agile to pure anarchy (Agile has always rubbed me wrong). Mark Kennaley speaks the truth when he says that “there is no ‘best’; there’s only contextual fitness for purpose.” Mark is the founder of Software Development Experts, a software development methodology historian, a consultant, and the creator of an expert system that helps organizations determine the best software methodology to use based on 10 factors: development team size, domain complexity, technical complexity, the geographical dispersion of the development team, time-to-market pressure, enterprise specialization, contract relationships, compliance, criticality, and culture. This makes perfect sense, and so does Mark. Unfortunately, entrenched dogma and high ceremony can obscure what really matters.

Composite, Dynamic Software Development Methodologies Are Best

TechnoPolitics speaks with Mark about how firms can choose the best methodology based on the 10 factors that matter. One size does not fit all. Listen to find out why and how to move forward.

Podcast: One-Size Software Development Methodologies Do Not Fit All

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The Pragmatic Definition Of Big Data

Mike Gualtieri

Big Data Definition, Mike Gualtieri, ForresterForget About The Three Vs

Big data is not defined by how you can measure data in terms of volume, velocity, and variety. The three Vs are just measures of data how much, how fast, and how diverse? A quaint definition of big data to be sure, but not an actionable, complete definition for IT and business professionals. A more pragmatic definition of big data must acknowledge that:

  • Exponential data growth makes it continuously difficult to manage — store, process, and access.
  • Data contains nonobvious information that firms can discover to improve business outcomes.
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Is 750MB Big Data?

Mike Gualtieri

Big Data Is Relative

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Cloud Prediction #10: Development Isn't All That Different In The Cloud

Mike Gualtieri

Forrester cloud computing expert James Staten recently published 10 Cloud Predictions For 2013 with contributions from nine other analysts, including myself. The prediction that is near and dear to my heart is #10: "Developers will awaken to: development isn't all that different in the cloud," That's right, it ain't different. Not much anyway. Sure. It can be single-click-easy to provision infrastructure, spin up an application platform stack, and deploy your code. Cloud is great for developers. And Forrester's cloud developer survey shows that the majority of programming languages, frameworks, and development methodologies used for enterprise application development are also used in the cloud.

Forget Programming Language Charlatans

Forget the vendors and programming language charlatans that want you to think the cloud development is different. You already have the skills and design sensibility to make it work. In some cases, you may have to learn some new APIs just like you have had to for years. As James aptly points out in the post: "What's different isn't the coding but the services orientation and the need to configure the application to provide its own availability and performance. And, frankly this isn't all that new either. Developers had to worry about these aspects with websites since 2000." The best cloud vendors make your life easier, not different.

Mobile App Is A Great First Cloud App

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Mobile Devs -- The 3 visual tooling changes that will make your life better in 2013

Michael Facemire

2013 is going to be an amazing year for mobile and web developers for a number of reasons, but the top one on my list today is the advance in tooling. This isn't simply a turn of the crank adding a few features/functions to the existing state of the art but instead the realization of a growing paradigm shift in how developers (experience creators, to quote my colleague Mike Gualtieri) create software. Today the majority of web and mobile apps are written by developers manually writing source code in text editors or IDEs, but tomorrow's tooling is becoming much more visual in nature. Here are the three tooling areas that excite me looking forward to 2013.

 
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Create Your Transformation Strategy For Digital Experience Delivery

John R. Rymer

 

Forrester clients can access the full report here. The research is part of Forrester’s playbook (warning: pay wall) to advise application development and delivery (AD&D) leaders on strategies to deliver digital customer experiences. 

Digital customer experience is the next big opportunity for AD&D professionals. Business leaders responsible for marketing, sales, and support need advice and guidance from AD&D leaders as they select vendors and technologies. They need AD&D (working with colleagues in enterprise architecture) to establish the technical services and tools to deliver and optimize cross-channel customer experiences. And they need AD&D's expertise in project and program management and software quality assurance. To grasp this opportunity, the typical AD&D organization must transform to be quicker; master new technologies and relationships; and broker, as well as build, digital experience solutions. This research outlines how to create a strategy for this transformation, both for AD&D shops just beginning the digital experience journey and organizations already well down the path.

Key takeaways from this research:

  • AD&D should play a strategic role in digital experience delivery. Enterprises can outsource to consultants some, but not all, of the design and implementation work required for cross-channel digital customer experiences. Core services will remain strategic assets best managed by AD&D professionals. The question for AD&D leaders is how to gain a place at the table with their enterprise's business leaders.
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Make data confidence index part of your BI architecture

Boris Evelson

I often see two ends of the extreme when I talk to clients who are trying to deal with data confidence challenges. One group typically sees it as a problem that IT has to address, while business users continue to use spreadsheets and other home-grown apps for BI. At the other end of the extreme, there's a strong, take-no-prisoners, top-down mandate for using only enterprise BI apps. In this case, a CEO may impose a rule that says that you can't walk into my office, ask me to make a decision, ask for a budget, etc., based on anything other than data coming from an enterprise BI application. This may sound great, but it's not often very practical; the world is not that simple, and there are many shades of grey in between these two extremes. No large, global, heterogeneous, multi-business- and product-line enterprise can ever hope to clean up all of its data - it's always a continuous journey. The key is knowing what data sources feed your BI applications and how confident you are about the accuracy of data coming from each source.

For example, here's one approach that I often see work very well. In this approach, IT assigns a data confidence index (an extra column attached to each transactional record in your data warehouse, data mart, etc.) during ETL processes. It may look something like this:

  • If data is coming from a system of record, the index = 100%.
  • If data is coming from nonfinancial systems and it reconciles with your G/L, the index = 100%. If not, it's < 100%.
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