How SOA can help Transformation

Undoubtedly, today’s business leaders face myriad challenges ranging from fierce market competition to increasing market unpredictability. In addition, the modern consumer is more informed and in control of what, where and how they purchase. Couple these challenges with effects of globalization, and you will appreciate that need for business transformation is more of a necessity than a privilege.

As recent business trends show, top companies are characterized by organizational and operational agility. Instead of being shaken by rapid technological changes and aftershocks associated with market changes, they are actually invigorated by these trends. In order to survive in these turbulent times, business leaders are opting to implement corporate transformation initiatives to develop leaner, more agile and productive operations. In line with this, service oriented architecture (SOA) has emerged as an essential IT transformation approach for implementing sustainable business agility.

By definition, service oriented architecture is a set of principles and techniques for developing and designing software in form of business functionalities. SOA allows users to compile together large parts of functionality to create ad hoc service software entirely from the template software. This is why it is preferred by CIOs that are looking to develop business agility. It breaks down business operations into functional components (referred to as services) that can be easily and economically merged and reused in applicable scenarios to meet evolving business needs. This enhances overall efficiency, and improves organizational interconnectivity.

SOA identifies shortcomings of traditional IT transformation approaches that were framed in monolithic and vertical silos all dependent on isolated business units. The current business environment requires that individual business units should be capable of supporting multiple types of users, multiple communication channels and multiple lines of business. In addition, it has to be flexible enough to adapt to changing market needs. In case one is running a global business enterprise, SOA-enabled business transformation can assist in achieving sustainable agility and productivity through a globally integrated IT platform. SOA realizes its IT and business benefits by adopting a design and analyzing methodology when developing services. In this sense a service consists of an independent business unit of functionality that is only available through a defined interface. Services can either be in the form of nano-enterprises or mega-enterprises.

Furthermore, with SOA an organization can adopt a holistic approach to solve a problem. This is because the business has more control over its functions. SOA frees the organization from constraints attributed to having a rigid single use application that is intricately meshed into a fragmented information technology infrastructure. Companies that have adopted service oriented architecture as their IT transformation approach, can easily repurpose, reorganize and rescale services on demand in order to develop new business processes that are adaptable to changes in the business environment. In addition, it enables companies to upgrade and enhance their existing systems without incurring huge costs associated with ‘rip and replace’ IT projects.

In summary, SOA can be termed as the cornerstone of modern IT transformation initiatives. If properly implemented great benefits and a sharp competitive advantage can be achieved. SOA assists in transforming existing disparate and unconnected processes and applications into reusable services; creating an avenue where services can be rapidly reassembled and developed to support market changes.

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Is Your Project Agile, a Scrum or a Kanban?

Few projects pan out the way we expect when starting out. This is normal in any creative planning phase. We half suspect the ones that follow a straight line are the exceptions to the rule. Urban legend has it; Edison made a thousand prototypes before his first bulb lit up, and then went on to comment, ?genius is 1% inspiration, 99% perspiration?. Later, he added that many of life’s failures are people who did not realise just how close they were to success when they gave up.

So be it to this day, and so be it with project planning too. There is no one size fits all approach when it comes to it. Agile, Scrum and Kanban each have their supporters and places where they do well. Project planning often works best when we use a sequential combination of them, appropriate to what is currently happening on the ground.

Of the three, Agile is by far the most comprehensive. It provides a structure that begins with project vision / conceptualisation, and goes as far as celebration when the job is over, and retrospective discussion afterwards. However, the emphasis on daily planning meetings may dent freethinking, and even smother it.

Scrum on the other hand says ?forget all that bureaucracy?. There is a job to do and today is the day we are going to do it. Although the core Agile teamwork is still there it ignores macro project planning, and could not be bothered with staying in touch with customers. If using Scrum, it is best to give those jobs to someone else.

The joker in the pack is Kanban, It believes that rules are there to substitute for thought, and that true progress only comes from responsible freedom. It belongs in mature organisations that have passed through Scrum and Agile phases and have embarked on a voyage towards perfection.

That said, there can be no substitute for human leadership, especially when defined as the social influence that binds the efforts of others towards a single task.

Article 8 of the EU Energy Efficiency Directive ? Orientation

Following in-depth discussion of the UK?s ESOS response, we decided to backtrack to the source, especially since every EU member is facing similar challenges. The core purpose of the directive is to place a pair of obligations on member states. These are

  1. To promote the availability of energy audits among final customers in all sectors, and;
  2. To ensure that enterprises that are not SMEs carry out energy audits at least every four years.

Given the ability for business to look twice at every piece of legislation it considers unproductive, the Brussels legislators took care to define what constitutes an enterprise larger than an SME.

Definition of a Large Undertaking

A large undertaking meets one or both of the following conditions:

  1. It employs 250 or more people
  2. Its annual turnover is more than ?50 million and its balance sheet total exceeds ?43 million

Rules for Energy Audits

If accredited / qualified in-house specialists are unavailable then independent experts should supervise audits. The talent shortage seems common to many EU businesses. In hindsight, the Union could have ramped up slower, especially since the first compliance date of 5 December 2015 does not leave much swing room.

ecoVaro doubts there was a viable alternative, given the urgent imperative to beat back the scourge of carbon that is threatening the viability of our planet. The legislators must have been of a similar mind when laying down the guidelines. Witness for example the requirement that penalties be ?effective, proportionate and dissuasive?.

In order to be compliant, an energy audit must

  1. Be based on twelve months of verifiable data that is
    • over a continuous period beginning no more than 24 months before the beginning of the energy audit, and;
    • identifies energy saving opportunities including paths to their achievement
  2. Analyse the participant’s energy consumption and energy efficiency
  3. Have not been used as the basis for an energy audit in a previous compliance period

Measurement of current status and progress tracing are at the core of energy saving and good governance generally. EcoVaro has a powerhouse of software tools available on the cloud to help project teams save time and money.

Directions Hadoop is Moving In

Hadoop is a data system so big it is like a virtual jumbo where your PC is a flea. One of the developers named it after his kid?s toy elephant so there is no complicated acronym to stumble over. The system is actually conceptually simple. It has loads of storage capacity and an unusual way of processing data. It does not wait for big files to report in to its software. Instead, it takes the processing system to the data.

The next question is what to do with Hadoop. Perhaps the question would be better expressed as, what can we do with a wonderful opportunity that we could not do before. Certainly, Hadoop is not for storing videos when your laptop starts complaining. The interfaces are clumsy and Hadoop belongs in the realm of large organisations that have the money. Here are two examples to illustrate the point.

Hadoop in Healthcare

In the U.S., healthcare generates more than 150 gigabytes of data annually. Within this data there are important clues that online training provider DeZyre believes could lead to these solutions:

  • Personalised cancer treatments that relate to how individual genomes cause the disease to mutate uniquely
  • Intelligent online analysis of life signs (blood pressure, heart beat, breathing) in remote children?s hospitals treating multiple victims of catastrophes
  • Mining of patient information from health records, financial status and payroll data to understand how these variables impact on patient health
  • Understanding trends in healthcare claims to empower hospitals and health insurers to increase their competitive advantages.
  • New ways to prevent health insurance fraud by correlating it with claims histories, attorney costs and call centre notes.

Hadoop in Retail

The retail industry also generates a vast amount of data, due to consumer volumes and multiple touch points in the delivery funnel. Skillspeed business trainers report the following emerging trends:

  • Tracing individual consumers along the marketing trail to determine individual patterns for different demographics and understand consumers better.
  • Obtaining access to aggregated consumer feedback regarding advertising campaigns, product launches, competitor tactics and so on.
  • Staying with individual consumers as they move through retail outlets and personalising their experience by delivering contextual messages.
  • Understanding the routes that virtual shoppers follow, and adding handy popups with useful hints and tips to encourage them on.
  • Detecting trends in consumer preferences in order to forecast next season sales and stock up or down accordingly.

Where to From Here?

Big data mining is akin to deep space research in that we are exploring fresh frontiers and discovering new worlds of information. The future is as broad as our imagination.?

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