Posts Tagged 'analytics'

Apr 052016
 

The Internet of Things. Location-based services. Automated reasoning. Social media. Wearables. Analytics. I could extend this list of “game-changing” technologies, and so could you. What’s a CEO, CIO, CTO, CFO, or business unit president to do? Especially when they go to an investor conference and they’re asked to explain “the game-changing technology plan”? Those who work in the C-suite need smart people, budgets, and technology solutions to impact their business processes and overall business model. In other words, game changers need context; otherwise, C-suite(rs) end up chasing “the next great things,” which is what many companies have done for decades. Remember business process reengineering, Six Sigma, matrix ­management, and management by objectives? Who ­created Six Read more

Mar 282016
 
Call for Papers: Big Data Analytics Success Hinges on the Four "Ps" — Preparation, People, Prediction, Production

Analytics — deep, predictive, operational, (insert preferred flavor here) — has climbed to the top of business executives wish lists in the past few years. The explosion of big data from social media sources and the coming supernova from the Internet of Things promises complete understanding of customer needs as well as the prediction/influencing of future behavior. With sufficient data, best of breed algorithms, faster computers, and emerging deep learning approaches — statistical correlation will become a largely exact science. Understanding causation will become an unnecessary luxury. Welcome to the analytics nirvana. Of course, inspiration and implementation often diverge. The day-to-day practicality of big data analytics continues to raise ongoing challenges. The “P-words” — preparation, people, prediction, and production point Read more

Feb 092016
 
Call for Papers: IoT Data Management and Analytics

The Internet of Things (IoT) is rapidly emerging as a transformational paradigm with a multitude of products and services now available and being adopted by corporations as well as individuals seeking to harness the vast opportunities it offers. But we do face a major obstacle in realizing the full potential of the IoT. The sheer variety, volume and velocity of data generated by the IoT presents unprecedented challenges in deriving meaningful and actionable insights and calls for a strategic approach to data management and usage. These approaches also need to address business strategies, business processes, enterprise architecture, systems and applications, and security and privacy considerations. It is also important to examine and decide what data Read more

Dec 112014
 
A New Kind of Software Development Framework

A good way to make predictions is to recognize current trends and then extrapolate them into the future. The longer the trends, the more confident you can be about the predictions. Thinking about software development processes, we see two long-term paths that software development has taken. These paths are the basis of both our joint prediction for the coming year and the kind of holistic consulting we will focus on in 2015. The path some have taken has been moving from one lifecycle process to another, each containing a set of prescribed practices. These, in rough order, are waterfall, spiral, controlled iteration/RUP, Xtreme Programing, Agile, and DevOps. We may have missed one or two, plus Read more

What really is an MVP?

 Posted by on Nov 24, 2014  2 Responses »
Nov 242014
 
What really is an MVP?

In his highly influential book, The Lean Startup, Eric Ries introduced term “minimal viable product” (MVP). As Ries rightly points out, firms putting out new products typically spend too much time and money on features that miss the mark somehow in meeting customer needs or are simply unnecessary. The result is a delayed over-expensive product that is more likely than not an economic failure. Reese proposes a better alternative: put out the least function (minimal) product that you can that might meet customer needs or at least will draw customer attention (viable). This way the team can test the market with different feature sets, get customer feedback, and commit development resources to the expensive activity Read more

Sep 232014
 

As the Internet of Things (IoT) becomes a reality, the volume of data that will be generated by the multitude of connected devices, machines, and processes — in the consumer, business, and industrial worlds — is expected to be massive. In short, the more devices and machines that get connected, the more data that is going to be generated. Achieving some kind of business value from this massive data reservoir will require the use of big data storage and analysis technologies that can scale to meet the constantly increasing demands placed on organizations. These include: NoSQL file systems NoSQL databases High-performance relational analytic and in-memory database appliances Hybrid relational databases with embedded MapReduce Streaming analytics Read more

Dec 182013
 
Analytics "Late-Comers" will Gain New Prominence

We’ve come to expect breakthroughs from retail, social and financial institutions as they apply leading-edge analytics to deliver impressive business insights. Heavy industries such as utilities, energy exploration and transportation have lagged these analytics power-users in three key dimensions: enterprise culture, technology foundation and business results. I believe 2014 will be the year when these analytics “late-comers” will gain new prominence. Here are six predications on what to expect: Enterprise Culture: new beliefs and norms are necessary to embrace analytics within most enterprises 1.  Analytics will be formalized as a leadership competency. Most large organizations have a set of leadership competencies that reflect their vision and strategy. In 2014, being able to drive decision making with Read more

Jan 082013
 
Mobile + Disruptive Technologies = Killer Apps

Last year, organizations across almost every industry became really serious about using mobile technology. The majority of these initiatives involved companies enabling existing applications and business processes with mobile capabilities to extend their usefulness to workers in the field or those on the go, as well as to customers and partners beyond the firewall. This trend will accelerate in 2013, with organizations continuing to deploy mobile apps in the form of management dashboards and tools for supporting the three main domains of CRM (i.e., sales, marketing, and service). That said, however, I believe that in 2013 we are also going to see end-user organizations and vendors develop applications that apply mobile technology in conjunction with Read more

Dec 152012
 
Agility, the Personal Cloud, and Complex Analytics on the Horizon

Predictions are always difficult in interesting times, because tomorrow’s concepts depend upon activity which has not yet occurred. We expected flying cars; we are getting autonomous cars.  In the 1950s, the computer revolution, robotics, GPS, and today’s traffic patterns would have been difficult to envision.  Today, we are seeing rapid evolution across Information and Communications Technology, affecting every component and every meme. But we can see the direction that some areas of recent concentration are likely to take. Concepts of Agility will continue to evolve, moving beyond specific processes such as Scrum toward more comprehensive programs capable of incorporating a wider variety of projects, under more conditions and supporting greater integration with governance. This can Read more

Dec 072011
 
Look for the New “Convergence”: Analytics, The Cloud, Tablets

Business is moving at the speed of light. Everyone wants to know what is happening in real-time. The macro strategy is all about making micro adjustments based on sophisticated modeling and analysis of terabytes of transaction data — data from consumer transactions, financial transactions, and social transactions — and all of them together. This isn’t happening in every industry, but in enough: businesses across the entire supply chain of consumer products (think product shelf placement that changes daily), financial services (think real-time credit adjustment), health care (think drug interaction reporting), transportation (think air fares that change by the minute) and more. Data aggregators are making this data available via the cloud — and the same Read more