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.

Check our similar posts

Uncover hidden opportunities with energy data analytics

What springs to mind when you hear the words energy data analytics? To me, I feel like energy data analytics is not my thing. Energy data analytics, however, is of great importance to any organisation or business that wants to run more efficiently, reduce costs, and increase productivity. Energy efficiency is one of the best ways to accomplish these goals.

Energy efficiency is not about investment in expensive equipment and internal reorganization. Enormous energy saving opportunities is hidden in already existing energy data. Given that nowadays, energy data can be recorded from almost any device, a lot of data is captured regularly and therefore a lot of data is readily available.

Organisations can use this data to convert their buildings’ operations from being a cost centre to a revenue centre through reduction of energy-related spending which has a significant impact on the profitability of many businesses. All this is possible through analysis and interpretation of data to predict future events with greater accuracy. Energy data analytics therefore is about using very detailed data for further analysis, and is as a consequence, a crucial aspect of any data-driven energy management plan.

The application of Data and IT could drive significant cost savings in company-owned buildings and vehicle fleets. Virtual energy audits can be performed by combining energy meter data with other basic data about a building e.g. location, to analyse and identify potential energy savings opportunities. Investment in energy dashboards can further enable companies to have an ongoing look at where energy is being consumed in their buildings, and thus predict ways to reduce usage, not to mention that energy data analytics unlock savings opportunities and help companies to understand their everyday practices and operating requirements in a much more comprehensive manner.

Using energy data analytics can enable an organisation to: determine discrepancies between baseline and actual energy data; benchmark and compare previous performance with actual energy usage. Energy data analytics also help businesses and organisations determine whether or not their Building Management System (BMS) is operating efficiently and hitting the targeted energy usage goals. They can then use this data to investigate areas for improvement or energy efficient upgrades. When energy data analytics are closely monitored, companies tend to operate more efficiently and with better control over relevant BMS data.

The Future of Cloud Backup and Recovery

We came across a post on Docurated that pulled together thirty-seven suggestions for the top cloud storage mistakes user companies make. Given that cloud storage seems to be the best backup solution for now at least, we decided to turn these ideas around to sense the direction cloud backup and recovery needs to take, if it is still to be relevant in say ten years? time.

Has Cloud Storage Largely Saturated the West?
It probably has. Outside of major corporates who make their own arrangements ? and SME?s that use free services by email providers ? the middle band of companies in Europe and America have found their service providers, although they may have never tested the recovery process, to see if it works.

The new gold rush in the cloud backup and recovery business is, or should be emerging markets in Asia, Africa, South America, and the Middle East. There, connectivity is brittler than over here. To be relevant in these fragile, more populous areas our cloud backup and recovery industry need to be more agile and nimble.

? It must provide a simpler service emerging commerce can afford, refresh its user interfaces in third world languages, have more accessible help, and be patient to explain how cloud storage works to newbies. In other words, it must source its call centre operators in the areas it serves.

? It must adapt to local connectivity standards, and stop expecting someone with ADSL broadband to keep up with cloud server networks running at up to 1GBPS compared to their 10MBPS at best. For user sourcing and retention purposes, these new cloud backup and recovery services must be the ones who adapt.

? It must facilitate disaster recovery simulations among its clients in calmer moments when things are going well. Are they backing up the right files, are they updating these, and are their brittle ADSL networks able to cope with their cloud service providers? upload and download speeds?

? It must develop lean and agile systems slim enough to accommodate a micro client starting out, but sufficiently elastic to transfer them seamlessly to big data performance. The Asian, African, South American, and Middle Eastern regions are volume driven, and individual economies of scale are still rare.

? It must not expect its users to know automatically what they need, and be honest to admit that Western solutions may be wrong-sized. Conversion funnels in the new gold rush are bound to be longer. Engagements there depend on trust, not elevator sales letters. Our competition in these countries already works this way.

? It must be honest and admit cloud storage is only part of the solution. To recruit and retain users it must step back to 1983, when Compuserve offered its customers 128k of disc space, and spent an amount of effort explaining how to filter what to put there.

Cloud Storage of Data is Only One Part of the Solution
Governance reports and stock certificates burn just as easily as do servers in a fire. We must not transfer bad habits to exciting new markets. We close this article with the thoughts of John Howie, COO of Cloud Security Alliance, as reported in the Docurated post we mentioned, and these apply across the globe, we believe.
There is no single most important thing to carry forward into the future of cloud backup and recovery. We must be mindful when moving data that this can be fragile too. We must also create layers of backup the way insurance companies re-insure, that make any one cloud backup and recovery business redundant if it happens.
We hold the trust of our customers in our hands but trust is delicate too. We must cease trying to make a pile of money quickly, and become more interested in ensuring that data transferred back and forth is synchronised. The cloud backup and recovery industry needs only one notorious mistake, to become redundant itself in the ten years we mentioned.

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A Definitive List of the Business Benefits of Cloud Computing ? Part 4

Lowers cost of analytics

Big data and business intelligence (BI) have become the bywords in the current global economy. As consumers today browse, buy, communicate, use their gadgets, and interact on social networks, they leave in their trail a whole lot of data that can serve as a goldmine of information organisations can glean from. With such information at the disposal of or easily obtainable by businesses, you can expect that big data solutions will be at the forefront of these organisations’ efforts to create value for the customer and gain advantage over competitors.

Research firm Gartner’s latest survey of CIOs which included 2,300 respondents from 44 countries revealed that the three top priority investments for 2012 to 2015 as rated by the CIOs surveyed are Analytics and Business Intelligence, Mobile Technologies, and Cloud Computing. In addition, Gartner predicts that about $232 million in IT spending until 2016 will be driven by big data. This is a clear indication that the intelligent use of data is going to be a defining factor in most organisations.

Yet while big data offers a lot of growth opportunities for enterprises, there remains a big question on the capability of businesses to leverage on the available data. Do they have the means to deploy the required storage, computing resources, and analytical software needed to capture value from the rapidly increasing torrent of data?

Without the appropriate analytics and BI tools, raw data will remain as it is – a potential source of valuable information but always unutilised. Only when they can take the time, complexity and expense out of processing huge datasets obtained from customers, employees, consumers in general, and sensor-embedded products can businesses hope to fully harness the power of information.

So where does the cloud fit into all these?

Access to analytics and BI solutions have all too often been limited to large corporations, and within these organisations, a few business analysts and key executives. But that could quickly become a thing of the past because the cloud can now provide exactly what big data analytics requires – the ability to draw on large amounts of data and massive computing power – at a fraction of the cost and complexity these resources once entailed.

At their end, cloud service providers already deal with the storage, hardware, software, networking and security requirements needed for BI, with the resources available on an on-demand, pay-as-you-go approach. In doing so, they make analytics and access to relevant information simplified, and therefore more ubiquitous in the long run.

As the amount of data continues to grow exponentially on a daily basis, sophisticated analytics will be a priority IT technology across all industries, with organisations scrambling to find impactful insights from big data. Cloud-based services ensure that both small and large companies can benefit from the significantly reduced costs of BI solutions as well as the quick delivery of information, allowing for precise and insightful analytics as close to real time as possible.

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