eCommerce

 

We bet you’ve often read how getting rich through the Internet can be fast and easy. Time for your 5-second reality check: It’s going to entail lots of hard work, dedication, a great deal of information and the ability to use that information to your advantage. Sounds familiar?

Well, it should be. After all, it’s still business. However, while the basic ingredients to achieving success in business are still the basic prerequisites in eCommerce, there are also a lot of technical aspects that have to be factored in. This is where you’ll need us.

Well, actually, we’re going to help you out on those basic ingredients too. That’s because our dedicated specialists will perform most of the hard work until you gain enough know-how to run things on your own.

If you’re starting from scratch, we’ll help you build on your idea and transform it into an actual web-based business.

Then once you’ve got your site online, we’ll redirect traffic to it, attract the right visitors, convert those visitors into buyers and keep them satisfied so that they’ll come back and even spread the word.

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Knowing the Caveats in Cloud Computing

Cloud computing has become such a buzzword in business circles today that many organisations both small and large, are quick to jump on the cloud bandwagon – sometimes a little too hastily.

Yes, the benefits of the cloud are numerous: reduced infrastructure costs, improved performance, faster time-to-market, capability to develop more applications, lower IT staff expenses; you get the picture. But contrary to what many may be expecting or have been led to believe, cloud computing is not without its share of drawbacks, especially for smaller organisations who have limited knowledge to go on with.

So before businesses move to the cloud, it pays to learn a little more about the caveats that could meet them along the way. Here are some tips to getting started with cloud computing as a small business consumer.

Know your cloud. As with anything else, knowledge is always key. Because it is a relatively new tool in IT, it’s not surprising that there is some confusion about the term cloud computing among many business owners and even CIOs. According to the document The NIST Definition of Cloud Computing, cloud computing has five essential characteristics, three basic service models (Saas, Paas and Iaas), and four deployment models (public, community, private and hybrid).

The first thing organisations should do is make a review of their operations and evaluate if they really need a cloud service. If they would indeed benefit from cloud computing, the next steps would be deciding on the service model that would best fit the organisation and choosing the right cloud service provider. These factors are particularly important when you consider data security and compliance issues.

Read the fine print. Before entering into a contract with a cloud provider, businesses should first ensure that the responsibilities for both parties are well-defined, and if the cloud vendor has the vital mechanisms in place for contingency measures. For instance, how does the provider intend to carry out backup and data retrieval operations? Is there assurance that the business’ critical data and systems will be accessible at all times? And if not, how soon can the data be available in case of a temporary shutdown of the cloud?

Also, what if either the company or the cloud provider stops operations or goes bankrupt? It should be clear from the get go that the data remains the sole property of the consumer or company subscribing to the cloud.

As you can see, there are various concerns that need to be addressed closely before any agreement is finalised. While these details are usually found in the Service Level Agreements (SLAs) of most outsourcing and servicing contracts, unfortunately, the same cannot be said of cloud contracts.

Be aware of possible unforeseen costs. The ability of smaller companies to avail of computing resources on a scalable, pay-as-you-go model is one of the biggest selling points of cloud computing. But there’s also an inherent risk here: the possibility of runaway costs. Rather than allowing significant cost savings, small businesses could end up with a bill that’s bound to blow a big hole in their budget.

Take for example the case of a software company cited on InformationWeek.com to illustrate this point. The 250-server cluster the company rented from a cloud provider was inadvertently left turned on by the testing team over the weekend. As a result, their usual $2,300 bill ballooned to a whopping $23,400 over the course of one weekend.

Of course, in all likelihood, this isn’t going to happen to every small and midsize enterprise that shifts to the cloud. However, this should alert business owners, finance executives, and CEOs to look beyond the perceived savings and identify potential sources of unexpected costs. What may start as a fixed rate scheme for on-demand computing resources, may end up becoming a complex pricing puzzle as the needs of the business grow, or simply because of human error as the example above shows.

The caveats we’ve listed here are among the most crucial ones that soon-to-be cloud adopters need to keep in mind. But should these be reasons enough for businesses to stop pursuing a cloud strategy? Most definitely not. Armed with the right information, cloud computing is still the fastest and most effective way for many small enterprises to get the business off the ground with the lowest start-up costs.

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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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Is Change Management a Myth or a Possibility

The theory that it is possible to manage organisational change (Change Management) in a particular direction has done the rounds for quite some time, but is it true about Change Management. Was Barrack Obama correct when he said, ?Change will not come if we wait for some other person or some other time. We are the ones we have been waiting for. We are the change that we seek.?
Or, was business coach Kelly A Morgan more on the button when she commented, ?Changes are inevitable and not always controllable. What can be controlled is how you manage, react to, and work through the change process.? Let us consult the evidence and see what statisticians say.

What the Melcrum Report Tells Us

Melcrum are ?internal communication specialists who work alongside leaders and teams around the globe to build skills and best practice in internal communication.? They published a report after researching over 1,000 companies that attempted change management and advised:

? More than 50% report improved customer satisfaction

? 33% report higher productivity

? 28% report improvements in employee advocacy

? 27% improved status as a great place to work

? 27% report increased profitability

? 25% report improved absenteeism

Sounds great until we flip the mirror around and consider what the majority apparently said:

? 50% had no improvement in customer service

? 67% did not report increased productivity

? 72% did not note improvements in employee advocacy

? 73% had no improved status among job seekers

? 73% did not report increased profitability

? 75% did not report any reduction of employee absenteeism

This shows it is still a great idea to hear what all parties have to say before reaching a conclusion. You may be interested to know the Melcrum report gave rise to the legend that 70% of organisation change initiatives fail. This finding has repeated numerous times. Let’s hear what the psychologists have to say next.

There is a certain amount of truth in the old adage that says, ?You can lead a horse to water but you cannot make him drink.? Which of us has not said, ?Another flavour of the week ? better keep heads down until it passes? during a spell in the corporate world. You cannot change an organisation, but you can change an individual.

At the height of the Nazi occupation of 1942, French philosopher-writer Antoine de Saint-Exup?ry said, ?A rock pile ceases to be a rock pile the moment a single man contemplates it, bearing within him the image of a cathedral?. Psychology Today suggests five false assumptions change management rests upon, THAT ARE SIMPLY NOT TRUE.

1. The external world is orderly, stable, predictable and can be managed

2. Change managers are objective, and do not import their personal bias

3. The world is static and orderly and can be changed in linear steps

4. There is a neutral starting point where we can gather all participants

5. Change is worthy in itself, because all change is an improvement

Leo Tolstoy wrote, ?Everyone thinks of changing the world, but no one thinks of changing himself.? A prophet can work no miracles unless the people believe. From the foregoing, it is evident that change management of an organisation is a 70% impossibility, but encouraging an individual to grow is another matter.

A McKinsey Report titled Change Leader, Change Thyself fingers unbelieving managers as the most effective stumbling stones to change management. To change as individuals ? and perhaps collectively change as organisations ? we need to ?come to our own full richness?, and as shepherds lead our flock to their ?promised land?, whatever that may be. Conversely, herding our flock with a pack of sheepdogs extinguishes that most precious thing of all, human inspiration.

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