TechnoPolitics Podcast: The Digital Experience X Factor For Business And IT

Forrester TechnoPoliticsForrester analyst Anjali Yakkundi says that digitally enabled customer experiences are no longer a nicety; they’re an obligation. The problem is that IT and business don’t always work well together:

  • Business relegates IT to a uncreative computing utility.
  • IT chuckles at business’s technology naïveté. 
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TechnoPolitics Podcast: Digital Disruptors Will Sink Your Company If You Don't Become One Yourself

Digital disruptors will sink your company...

...if you don’t become one yourself. So says James McQuivey, author of Forrester’s new book Digital Disruption: Unleashing the Next Wave of Innovation (available everywhere February 26, 2013). You always knew digital was going to upend things. In every industry, digital disruptors are taking advantage of new platforms, tools, and innovation to undercut competitors, ingratiate customers, and disrupt the usual ways of doing business. There have always been winners and losers when disruption hits, but digital disruption hits harder and runs deeper than anyone would have guessed.

Digital Disruption is a book about how to innovate with a digital twist — a must-read for anyone who wants to be a digital winner. 

In this episode, TechnoPolitics sits down with Digital Disruption author James McQuivey to:

  • Learn what digital disruption is and how it affects every industry (even cement companies).
  • Understand the mindset of digital disruptors.
  • Find out how your firm can fend off digital disruptors by becoming one itself.
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TechnoPolitics Podcast: Hey CIO, Here Is Your Hybrid Cloud Wake-Up Call

James Staten, Forrester TechnoPoliticsHybrid clouds are especially subject to the law of unintended consequences, says Forrester’s cloud expert James Staten. Many IT organizations don’t even acknowledge that they have a hybrid cloud. The reality: If enterprises are using public cloud software-as-a-service (SaaS) and/or deploying any custom applications in the public cloud, then by definition they have a hybrid cloud, because it almost always connects to the back end.

In this episode of TechnoPolitics, James implores CIOs and IT professionals to get serious about hybrid cloud now to avoid spaghetti clouds in the future.

Podcast: Here Is Your Hybrid Cloud Wake-Up Call

Click here to download the MP3 file of this episode.

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TechnoPolitics Podcast: Microsoft Office 365 Versus Google Apps — How To Decide

Enterprises have a choice when it comes to employee productivity and collaboration apps (email, documents, spreadsheets, presentation, video conference, etc) in the cloud: Microsoft Office 365 and Google Apps. Deciding which solution is best for your business is not easy, because it is not an apples-to-apples comparision of apps and features. It’s more like a fruit basket containing some apples, some pears, and a few exotic fruits. Not to worry — Forrester’s expert on collaboration software, TJ Keitt, is here to help.

In this episode of TechnoPolitics, TJ helps you decide by offering deep insights on:

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TechnoPolitics Podcast: Has Apple Run Out Of Mobile Innovations?

Apple ignited the smartphone market with the innovative, super-desirable iPhone. But is the company’s innovation engine starting to sputter? That’s the question I pose to Forrester mobile analysts Jeffrey Hammond and Michael Facemire in this episode of TechnoPolitics. Of course, the answer isn’t so simple. Apple’s ultimate challenge is not about tit-for-tat feature innovation. Jeffrey Hammond says that this is a battle between two fundamentally different innovation models: directed innovation and open innovation. Apple is the high church of directed innovation, whereas Google’s approach is to let a thousand flowers bloom. Both mobile platforms have been enormously successful. But Michael Facemire thinks that conditions are ripe for the open innovation model to dominate. Jeffrey and Michael have amazing insights that you can only get at TechnoPolitics.  

Podcast: Has Apple Run Out Of iPhone Innovations?


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Big Data Predictions For 2013

William Shakespeare wrote that “What’s past is prologue.” Big data surely builds on our rich past of using data to understand our world, our customers, and ourselves. Now the world is flush and getting flusher in big data from cloud, mobile, and the Internet of things. What does it mean for enterprises? In a word: opportunity. Firms have taken to big data. Here are my four predictions for key enterprise big data themes in 2013:

  1. Firms will realize that “big data” means all of their data. Big data is the frontier of a firm’s ability to store, process, and access (SPA) all of the data it needs to operate effectively, make decisions, reduce risks, and create better customer experiences. The key word in the definition of big data is frontier. Many think that big data is only about data stored in Hadoop. Not true. Big data is not defined by how it is stored. It can and will continue to reside in all kinds of data architectures, including enterprise data warehouses, application databases, file systems, cloud storage, Hadoop, and others. By the way, some predict the end of the data warehouse — but that’s nonsense. If anything, all forms of data technology will evolve and be necessary to handle the frontier of big data. In 2013, all data is big data.
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TechnoPolitics Podcast: Six Mobile App Development Predictions For 2013

Six Mobile Predictions!

Top Forrester mobile app-dev analysts Jeffrey Hammond and Michael Facemire prognosticate about the top trends for mobile application development in 2013. In this episode of Forrester TechnoPolitics, your host, Mike Gualtieri, asks Jeffrey and Michael to each make three predictions about mobile application development in 2013. Listen to this lively discussion and let us know if you agree or disagree with these predictions or have a few of your own to contribute.

Podcast: Mobile App Development Predictions For 2013 (14 minutes)

Click here to download the MP3 file of this episode.

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TechnoPolitics Podcast: The Pragmatic Definition Of Big Data Explained

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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TechnoPolitics Podcast: Agile Software Is Not The Cat's Meow

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

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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