How DevOps Could Change Your Business

Henry Ford turned the U.S. auto industry on its head when he introduced the idea of prefabricating components at remote sites, and then putting them together on a production line. Despite many industries following suit, software lagged behind until 2008, when Andrew Clay Shafer and Patrick Debois told the Agile Conference there was a better way to develop code:
– Write the Code
– Test the Code
– Use the Code
– Evaluate, Schedule for Next Review

The term ?DevOps? is short for Development and Operations. It first appeared in Belgium, where developers refined Shafer and Depois? ideas. Since then, DevOps became a counter movement against the belief that software development is a linear process and has largely overwhelmed it.

DevOps – A Better Way

DevOps emerged at an exciting time in the IT industry, with new technology benefiting from a faster internet. However, the 2008 world recession was also beginning to bite. Developers scampered to lower their human resource costs and get to market sooner.

The DevOps method enabled them to colloborate across organizational boundaries and work together to write, quality assure and performance test each piece of code produced in parallel.
DevOps? greater time-efficiency got them to market sooner and helped them steal a march on the competition.

There are many advantages to DevOps when we work in this collaborative way. Cooperation improves relationships between developers, quality assurers and end users. This helps ensure a better understanding of the other drivers and a more time-effective product.

Summary of DevOps Objectives

DevOps spans the entire delivery pipeline, and increases the frequency with which progress is reviewed, and updates are deployed. The benefits of this include:

? Faster time to market and implementation

? Lower failure rate of new releases

? Shortened lead time for bug fixes and updates

The Psycho-Social Implications of DevOps

DevOps drills through organization borders and traditional work roles. Participants must welcome change and take on board new skills. Its interdepartmental approach requires closer collaboration across structural boundaries and greater focus on overarching business goals.

Outsourcing the detail to freelancers on the Internet adds a further layer of opportunity. Cultures and time zones vary, requiring advanced project management skills. Although cloud-based project management software provides adequate tools, it needs an astute mind to build teams that are never going to meet.

The DevOps movement is thus primarily a culture changer, where parties to a project accept the good intentions of their collaborators, while perhaps tactfully proposing alternatives. There is more to accepting a culture than using a new tool. We have to blend different ways of thinking together. We conclude by discussing three different methods to achieve this.

Three Ways to Deploy DevOps in your?Organisation

If you foresee regular DevOps-based projects, consider running your entire organisation through an awareness program to redirect thinking. This will help non-participants understand why DevOps members may be ?off limits? when they are occupied with project work. Outsourcing tasks to contracting freelancers can mitigate this effect.

There are three implementation models associated with DevOps although these are not mutually exclusive.

? Use systems thinking. Adopt DevOps as company culture and apply it to every change regardless of whether the process is digital, or not

? Drive the process via increased understanding and feedback from key receivers. Allow this to auto-generate participative DevOps projects

? Adopt a continuous improvement culture. DevOps is not only for mega upgrades. Feedback between role players is paramount for success everywhere we go.

You can use the DevOps concept everywhere you go and whenever you need a bridge to better understanding of new ideas. We diminish DevOps when we restrict its usefulness to the vital role it plays in software development. The philosophy behind it belongs in every business.

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Technology and process improvement

Tightening organisational flow to improve productivity and minimise costs is a growing concern for many businesses post the Global Financial Crisis. Businesses can no longer afford to waste time and personnel on inefficient processes. Organisations using either Six Sigma or Lean techniques better manage their existing resources to maximise product out-put. Both of these techniques involve considerable evaluation of current processes.

What is Six Sigma?

Six Sigma is an organisational management strategy that evaluates processes for variation. In the Six Sigma model, variation equates waste. Eliminating variation for customer fulfilment allows a business to better serve the end-user. In this thought model, the only way to streamline processes is to use statistical data. Each part of a process must be carefully recorded and analysed for variation and potential improvements. The heart of the strategy embodied by Six Sigma is mathematical. Every process is subject to mathematical analysis and this allows for the most effective problem solving.

What is a Lean Model?

Lean businesses do not rely on mathematical models for improvement. Instead, the focus is on reducing steps in the customer delivery cycle, which do not add value to the final deliverable. For example, maintaining excess inventory or dealing with shortages would both be examples of waste behaviour. Businesses that operate using Lean strategies have strong cash flow cycles. One of the best and most famous examples of Lean in action is the Toyota Production System (TPS). In this system, not only is inventory minimised, but physical movement for employees also remains sharply controlled. Employees are able to reach everything needed to accomplish their tasks, without leaving the immediate area. By reducing the amount of movement needed to work, companies also remove wasted employee time.

Industry Applications for Lean and Six Sigma

Lean businesses reduce the number of steps between order and delivery. The less inventory on hand, the less it costs a business to operate. In industries where it is possible to create to order, Lean thinking offers significant advantages. Lean is best utilised in mature businesses. New companies, operating on a youthful model, may not be able to identify wasteful processes. Six Sigma has shown its value across industries through several evolution’s. Its focus on quality of process makes it a good choice for even brand new businesses. The best use is the combination of the two strategies. With the Lean focus on speed and the Six Sigma focus on quality combined, the two organisational processes create synergy. By itself, Lean does not help create stable, repeating success. Six Sigma does not help increase speed and reduce non value-added behaviours. Combined, these two strategies offer incredible value to every business in cost savings.

Using Technology to Implement Lean Six Sigma

Automation processes represent an opportunity for businesses to implement a combination of both Lean and Six Sigma strategies. Any technology that replaces the need for direct human oversight reduces costs and increases productivity. A few examples of potentially cost saving IT solutions include document scanning, the Internet, and automated workflow systems.

  • Document Scanning – Reducing dependency on paper copies follows both Lean and Six Sigma strategies. It is a Lean addition in that it allows employees to access documents instantly from any physical location. It is Six Sigma compliant in that it allows a reduction on process variation, since there is no bottleneck on the flow of information.
  • The Internet – The automation potential offered by the Internet is limitless. Now, businesses can enter orders, manage logistics and perform customer service activities from anywhere, through a hosted portal. With instant access to corporate processes from anywhere, businesses can manage workflow globally, allowing them to realise cost savings from decentralisation.
  • Automated Work Systems – One of the identified areas of waste in any business is processing time. The faster orders are processed and delivered, the greater the profits for the company and the less the expense per order. When orders sit waiting for attention, they represent lost productivity and waste. Automated work systems monitor workflow and alert users when an item sits longer than normal. These systems can also reroute work to an available employee when the original worker is tied up.

Each of these IT solutions provides a method for businesses to either reduce the number of steps in a process or improve the quality of the process for improved customer service.

Identifying Areas for Lean Six Sigma Implementation

Knowing that improved processes result in improved profits, identifying areas for improvement is the next step. There are several techniques for creating tighter processes with less waste and higher quality. Value Stream Mapping helps business owners and managers identify areas of waste by providing a visual representation of the total process stream. Instead of improving single areas for minimal increases in productivity, VSM shows the entire business structure and flow, allowing management to target each area of slow down for maximum improvement in all areas.

Seeing the areas of waste helps management better determine how processes should work to best obtain the desired outcomes. Adding in automated processes helps with improved process management, when put in place with a complete understanding of current systems and their weaknesses. Start with mapping and gain a bird’s-eye view of the situation, in order to make the changes needed for improvement.

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Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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IT Transformation Defined

Businesses depend on IT to effectively manage business processes and to provide products and services to clients. As IT technologies advance, it is crucial that businesses update their hardware to remain competitive. But businesses should do more than simply upgrade their servers and should really strive to effect IT transformation.

What is IT Transformation?

IT transformation is the ongoing process of changing the way that a company uses IT to better align it with current business goals. Through the IT transformation process, businesses try to determine whether they are meeting mission-critical benchmarks through the incorporation of new IT technologies for corporate transformation.

For example, if one of the current business concerns is whether the company can improve customer service, the IT system will need to evolve in such a way that improves customer service in a measurable way.

Successfully Aligning the Technology to Business Goals

In order to successfully align the IT system with business goals, it is important to understand the newly integrated technologies to understand how they can change business processes. If a new feature is intended to make the server more secure, the management should know exactly how the feature will improve the security of the server and whether the new implementation is redundant.

Once the business objectives have been identified, IT transformation is carried out by changing both the software and hardware used by the company. An example would be the growing trend of server migration to the cloud. Cloud computing is the growing trend of making files and data accessible from anywhere. If an organisation believes that it can improve productivity through a server cloud migration, it will need a way to test this.

The IT Transformation Process

Given that IT transformation is directly related to the core business, the IT transformation process must begin by identifying which aspects of the company must be changed. Then, the company must determine?IT services that could potentially be integrated into the business in a way that will help the company achieve benchmarks. After the key decision-makers understand the IT network well enough to effectively implement it, the company must efficiently manage the transformation process. Then, after the IT has been integrated, the company must have a system in place to measure business transformation in a numerical way.

For example, when assessing customer satisfaction, one effective strategy would be to distribute customer satisfaction surveys that ask customers to rate their experiences on a scale of one to ten. The company can then measure the results of the customer satisfaction survey to determine whether the new IT implementations are accomplishing their intended goals.

If the expected benchmarks are not being met, the next step in the IT transformation process is to determine if there is a specific reason for that. Is there a way that the feature can be better integrated to achieve desired business objectives? Are there other features that can help the company better achieve its goals?

Upgrading a network can be an expensive process and it is important to identify early on which options are the most likely to benefit the company’s bottom line.

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