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.

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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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Cloud Computing Trends: Where is the Cloud Headed Next?

Cloud adoption has been quick and painless at the consumer level. For instance, everyone’s on Gmail, YouTube, Facebook and Twitter on a daily basis yet most think nothing of the fact that they’re already using cloud-based services. Small businesses have also discovered how cloud solutions have raised efficiency in the workplace up a notch or two, while also bringing about significant cost savings. Cloud applications, particularly those for communication, file sharing, office software, backup and storage, and customer management, have rapidly grown in usage among SMBs.

In the same manner, large corporations are starting to see the potential of moving some of their IT department, whether its infrastructure or network management, to the cloud. By all indications it would seem that whether we are ready for it or not, cloud computing technology is here for the long haul.

So where is the cloud headed to next? In this post we examine the trends in the world of cloud computing and what likely lies in store in the near future for cloud users.

Focus on Security

Security has always been a key concern in the cloud computing industry and this will not go away anytime soon. If anything, data security in the cloud will only get to be in the limelight even more as cloud adopters grow in number. That’s why we expect professional cloud services providers to start implementing measures that will help slowly build up confidence in cloud security.

We should soon see more advanced security techniques and protocols that would increase the overall level of privacy and protection for cloud-stored information. Tighter security for login encryptions and prevention of unauthorized access are priority although there are a lot more issues that may need to be addressed. Now it remains to be seen whether these moves are enough for corporate clients to put their full trust in the cloud. But then again, they can always find ways to stay secure while making use of cloud computing where they can, which brings us to the next cloud trend.

Hybrid Approach

Large businesses are taking a longer time to get used to and actually use cloud services, and understandably so. After all, these companies have more at stake when it comes to dealing with such valid issues as security, compliance, outages, legacy systems, and more. However, they also cannot ignore the very appealing characteristics of the cloud. For big companies that have substantial IT needs, scalability, business agility, and faster deployment are listed as the biggest draws of the cloud.

This is why analysts predict that as as these businesses look toward leveraging the benefits of the cloud while at the same time maintaining control over mission critical data and systems, the use of a hybrid approach, i.e. putting some services in a public and at the same time opting to utilize a private cloud for other applications, will see enormous growth.

Mobile Cloud Computing

The BYOD or Bring Your Own Device business policy is another emerging trend that would not have been possible if not for cloud technology. This practice involves having employees bring their mobile devices to work, allowing them to access company files, data, and applications from their personally-owned gadgets in and out of the workplace.

As with any new business practice, the concept of BYOD can be both advantageous and disadvantageous. On the one hand, some believe it helps increase employee productivity and lifts their morale, while reducing overall IT costs. On the other hand, BYOD also opens up a whole new set of problems that are quite consistent with what many businesses take issue with with cloud technology: security. Do the pros outweigh the cons or vice versa? This much isn’t clear yet but what is evident is that more cloud apps are going mobile.

Efficiency, Innovation

While cost savings has always been one benefit that cloud proponents are quick to point out, its capability to improve and streamline business processes, thereby increasing efficiency and agility within the organization, is another key opportunity that the cloud offers. This is evident when you take a look at the most commonly used cloud services: backup and archiving, business continuity, collaboration tools, and big data processing.

Moreover, the cloud is making it easier for individuals to create new products and produce new lines of business. With access to higher IT capacity at lesser cost and at faster deployment rates, businesses can scale into more innovation without having to worry about the availability of computing resources.

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Why DevOps Matters: Things You Need to Know

DevOps creates an agile relationship between system development and operating departments, so the two collaborate in providing results that are technically effective, and work well for customers and users. This is an improvement over the traditional model where development delivers a complete design ? and then spends weeks and even months afterwards, fixing client side problems that should never have occurred.
Writing for Tech Radar Nigel Wilson explains why it is important to roll out innovation quickly to leverage advantage. This implies the need for a flexible organisation capable of thinking on its feet and forming matrix-based project teams to ensure that development is reliable and cost effective.
Skirmishes in Boardrooms
This cooperative approach runs counter to traditional silo thinking, where Operations does not understand Development, while Development treats the former as problem children. This is a natural outcome of team-centred psychology. It is also the reason why different functions pull up drawbridges at the entrance to their silos. This situation needs managing before it corrodes organization effectiveness. DevOps aims to cut through this spider web of conflict and produce faster results.

The Seeds of Collaboration

Social and personal relationships work best when the strengths of each party compensate the deficiencies of the other. In the case of development and operations, development lacks full understanding of the daily practicalities operating staff face. Conversely, operations lacks ? and should lack knowledge of the nuances of digital automation, for the very reason it is not their business.
DevOps straddles the gap between these silos by building bridges towards a co-operative way of thinking, in which matrix-teams work together to define a problem, translate it into needs and spec the system to resolve these. It is more a culture than a method. Behavioural change naturally leads to contiguous delivery and ongoing deployment. Needless to say only the very best need apply for the roles of client representative, functional tester and developer lead.

Is DevOps Worth the Pain of Change?

Breaking down silos encroaches on individual managers? turf. We should only automate to improve quality and save money. These savings often distil into organisational change. The matrix team may find itself in the middle of a catfight. Despite the pain associated with change resistance, DevOps more than pays its way in terms of benefits gained. We close by considering what these advantages are.

An Agile Matrix Structure ? Technical innovation is happening at a blistering rate. The IT industry can no longer afford to churn out inferior designs that take longer to fix than to create. We cannot afford to allow office politics to stand in the way of progress. Silos and team builds are custodians of routine and that does not sit well with development.

An Integrated Organization ? DevOps not only delivers operational systems faster through contiguous testing. It also creates an environment whereby cross-border teams work together towards achieving a shared objective. When development understands the challenges that operations faces ? and operations understands the technical limiters – a new perspective emerges of ?we are in this together?.

The Final Word ? With understanding of human dynamics pocketed, a DevOps project may be easier to commission than you first think. The traditional way of doing development – and the waterfall delivery at the end is akin to a two-phase production line, in which liaison is the weakest link and loss of quality inevitable.

DevOps avoids this risk by having parties work side-by-side. We need them both to produce the desired results. This is least until robotics takes over and there is no longer a human element in play.

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