Web Analytics

There’s a vast ocean of raw customer data on the Web. Ever thought of the implications if somehow you could harness all that data and transform it into useful information? Information that perhaps you can use in your SEO (Search Engine Optimisation) and conversion optimisation?

There are web analytics tools you can employ for these purposes. But using web analytics tools will only win you half the battle. You’ll have to be proficient in configuring these tools to generate insightful and actionable results out of them. A poorly configured tool can produce confusing or even misleading information.

Our web analysts possess the expertise to configure and use web analytics tools, as well as analyse results and leverage information obtained from them.

These are the things we can do to help you take advantage of web analytics.

  • Discuss with your managers to establish your specific goals, to determine what specific data we have to collect/analyse and to plan out how to go about with the entire process.
  • Help you select an appropriate tool, install it and set optimal configurations including page tags, filters, funnels, reports and others.
  • Wield the full force of your analytics tool(s) to make sound business decisions.
  • Monitor the entire web analytics system and implement adjustments when needed.

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Do you really need a Cloud Broker?

A cloud broker is someone who can serve as your trusted adviser when it comes to your dealings with a cloud service provider. Sort of an IT consultant who: is familiar with cloud computing, can negotiate a mutually beneficial relationship between you and a provider, and help you manage usage, performance and delivery of cloud services.?But do you need one?

Is it even time for cloud adoption?

Of course, if you haven’t even started considering moving your IT systems to the cloud, what’s the point of reading this article, right? Well, if you’re running a business in Ireland or the UK maybe you should start thinking about it. The benefits (of moving to the cloud) are simply overwhelming. But then that’s for another post.

For now, let’s just briefly talk about the rate of cloud adoption so far. This should give you an idea what other decision makers nearby think about cloud computing and what they’ve done in this regard so far.

According to research conducted by the Cloud Industry Forum (CIF), the number of first-time users of cloud computing in the United Kingdom has risen by about 27% compared to last year.

The study, which was carried out by research company Vanson Bourne and which involved IT decision-makers from both the private and public sector in UK, also showed that 61% of companies are subscribing to cloud-based services. A similar research conducted last year (2011) revealed only 48%.

In Ireland, plans are underway to adopt cloud computing. According to Pricewaterhouse Coopers, 75% of Ireland’s CIOs and IT directors are already adopting a cloud computing strategy.

Definitely, the number of cloud adopters is growing. If that number already includes your hottest competitor, then perhaps there’s no time to waste.

But while a migration to the cloud should be in your pipeline, it shouldn’t be something you should rush into. Generally speaking, there are at least three kinds of services offered by cloud service providers: IaaS (Infrastructure as a Service), PaaS (Platform as a Service), and SaaS (Software as a Service).

Some providers offer variations of these services. You might only need one type of service or a little of everything. There are also technical and regulatory compliance issues that need consideration.

Obviously, if you have no idea where or how to start, you’ll need someone who can help you. But what kind of help do you need?

Let’s proceed by talking about the kinds of services cloud brokers offer as these are obviously indicative of the needs of current cloud customers.

What cloud brokers do?

Cloud brokers offer three main types of services.

Cloud?inter-mediation

Cloud inter-mediation services are designed to add value to existing services and improve capabilities. ?Examples of cloud inter-mediation include managing access to cloud-based services, carrying out performance reporting, and establishing stronger security.

Cloud aggregation

As mentioned earlier, some cloud customers may end up subscribing to multiple cloud services; most likely from different cloud service providers. To get optimal return on their various cloud subscriptions, these customers will need to apply data integration and make these disparate systems work together. They will also have to make sure data flowing from one system to another is kept secure. This is where cloud aggregation comes into play.

Cloud arbitrage

This entails finding the best cloud service provider(s) to solve a particular problem. One example is comparing different providers offering data storage services and identifying the one offering the most competitive rates.

Other cloud arbitrage brokers develop new solutions by combining the services of different cloud service providers and then offer them to cloud customers. While there are similarities between cloud arbitrage and cloud aggregation, the former is more flexible and allows the customer to transfer from one provider to another where conditions are more favourable.

Problems a cloud broker can help you solve

Just like with natural clouds, your experiences in cloud computing won’t be all white and fluffy. You’ll also encounter gray and uncertain (or even stormy) clouds.

One major issue in cloud computing is cloud security. In fact, cloud security (or the apparent lack of it) is the one thing that’s really clouding up the sky of cloud computing. But that doesn’t mean the cloud is totally insecure. Besides, there are certain types of information that really don’t require a high level of security. These types you can easily migrate to the cloud.

For sensitive information, you really need to conduct due diligence to make sure your cloud service providers’ data centres are secure enough.

Where exactly will your data be stored? Are there enough provisions for regulatory compliance? How will your data be segregated? Does the infrastructure readily support ?data forensics? Is there a sound disaster recovery/business continuity plan? These are just some of the questions that need clear answers before you sign a contract with a cloud service provider.

Suggested reading: 9 Cloud Security Questions You Need To Ask Service Providers

Also, before you sign, you need to study the SLA (Service Level Agreement) very carefully. Look at the guaranteed uptime. Is it enough to meet your own desired service levels?

Bear in mind that the answers to these questions may be too technical. This is one of those instances when a cloud broker can come in handy. As your trusted adviser, your cloud broker can break down the technical jargon and present everything in a language that you can make intelligent decisions from.

A cloud broker will also be able to study the cloud provider’s security architecture and policies and determine whether they’re sufficient to meet your own security requirements. Basically, a cloud broker will not only help you obtain answers to your questions.

He will also know exactly what vital information to extract from providers in order to ensure that you find the best deal possible.

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The Future is Smarter with a Smart Meter

Traditionally, electricity and water meter consumption was measured via analogue meters. Utility billing was based on actual consumption units obtained from the meter by meter readers. This entailed physical visits to the metering point. Lots of challenges came with meter reading; talk of customers feeling their privacy is intruded, meter readers encountering hostile customers, dogs, closed gates. The result was estimated bills that were most often than not very high.

Smart meters can be dubbed as the ?next generation? type of meters. Smart meters send wireless electronic meter readings to one?s energy supplier automatically. There are both gas smart meters and electricity smart meters. Smart meters come with in-home displays, which give someone real-time feedback on their energy usage and the associated cost.

Smart meters communicate meter readings directly to utility companies therefore no one has to come to your home to read your meter; and neither are you required to submit meter readings yourself. This not only reduces costs, but leads to more accurate electricity bills practically eliminating estimated bills. Smart meters signal the end of estimated bills, and the end of overpaying or underpaying for energy.

Whereas a smart meter in itself does not save you money, the add-ons (in-home displays) that come with the smart meters and which give someone real-time feedback on their energy usage helps them to reduce the unnecessary energy use and this ultimately leads to better oversight into how to lower utility bills hence better management of one?s energy use.

In summary, a smart meter is a technology that enables energy consumers to see their energy as they use it, a technology where energy is displayed as it is being used and wireless ratings sent. Adoption of smart meters would mean the end of estimated energy bills.

Smart meters are also promising a smart future where all energy consuming devices can be connected to the internet and centrally controlled using computers or smartphones. This means one is able to switch off lights and other energy consuming devices from a central point, hence make savings and this will enable them to have greater control of their energy use, hence more comfort, convenience and life will be cheaper for all. This is the smarter future we are all looking forward to.

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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