Data Visualization

Analytics, Data Visualization

5 Tips for Finding the Hidden Story in Big Data Through Visualisation

Modern information based economies, enabled by technologies like the Internet, have unleashed a sandstorm of information, also called Big Data.

Information is useful because it aids decision making, but there are many challenges.  How to capture, store, analyse, search, share, and transfer vast amounts of data swirling at high speed?  How can one picture the story that the data is telling, and interpret it in a way that adds business value? Would this be manageable if all the data were neatly organised? It might be manageable but still by no means straightforward. But no such luck!  Big data comes in many forms: structured, unstructured, highly unstructured, and hails in a variety of data: text, images, audio, and video.

Tracking and analysing each grain of sand is impossible and may not even be useful. Instead, snapping some pictures of the overall sandstorm can provide many valuable insights.  In other words, we can benefit from Data Visualization. Data Visualization requires creativity to make large data sets simple, appealing, and digestible for the end user, who can then make decisions by analysing the available data. Visualization helps tell a story about the data that the end user can quickly understand.

Some of the key points to be kept in mind during the data visualization process –

  1. Keep it simple (mostly): Visualisation often involves representing data in charts, but the type of chart you choose completely depends on the use case. Is it better to use a chart that supports the data or the one that helps the audience reveal key insights? You might say that both are important, and that’s exactly why complexity arises. Combining technical and business expertise is crucial: a data and visualization expert who is also a problem solver and a good communicator is what you really need. Simple charts are preferable since they are easily comprehendible. However, an expert in the field is key to understand which chart to use according to the data and the business context. For example, graphs can be as simple as a bar chart, or as complicated as a tree map or sunburst that are used to represent hierarchical and sequential data, respectively.
  2. Define the goal: Defining the intent of the visualization sets the path towards choosing the most appropriate graphs and charts to represent the data. For example, are you trying to explain, explore or exhibit the data? This provides a starting point for choosing the right visuals. Although knowledge of statistics surely helps when trying to derive useful insights from data, visualization can tell a story that makes it easier to identify and interpret those insights.
  3. Aesthetics are important: Do you have too many colours in your graphs? Are the sizes of data points slightly off? Are your graphs too monochromatic? Colours and shapes matter just as much as the data itself because they effect the user’s ability to analyse and understand the data quickly and easily.
  4. Ensure data accuracy: If the data isn’t prepared carefully, visuals might depict insights that are wrong. Taking a bird’s eye view of the data should be the starting point before adding filters to look at the data more deeply.
  5. Tell a story: Can you tell a story about the data after going through the data visualization process? If you can, then you know you have uncovered some useful insights. What is the story in your interpretation of results? Is there one at all? Story and visualization should go hand in hand.

Choosing the right tool for visualization is quite subjective since understanding the pros and cons of various tools and making the right choice depends on various factors such as the size of the organization, the kind of projects they are doing, and so on. Open source tools such as R and Python are very popular, while subscription based tools such as Tableau and Qliksense are powerful too.

Visualize, gain valuable insights, make sound decisions, and you are on the pathway to making sense of the sandstorm!


Data Visualization

Moving to the Cloud: Office 365 – 6 reasons to do it and 4 things we learnt

Great article from Carl Griffith and our friends at systemsGo on their move to the cloud with Office 365, which we helped with:

“Like thousands of other organizations around the world, we made the decision last year to move our email from Exchange into the cloud. We did this for a number of compelling reasons:

  • Our servers and software were becoming outdated and desperately in need of modernization and an upgrade.
  • Like many companies, we wanted to move from a Capital Expenditure model towards an Operational Expenditure model. This would allow us to more easily manage cash flow and invest in our future over time, and with predictable investments that could be aligned with budgets and forecasted spend.
  • We wanted to digitize and modernize the way we do business, with email being central to our internal and external communications and operations. We also wanted to give our employees a digital communication experience comparable with what they are increasingly familiar with and have learned to expect from using their mobile devices and other connected hardware and applications.
  • Like almost every organization, we have built up a repository of information and we wanted to make accessing, searching and sharing that information easier.
  • We wanted to maintain our appeal as a place where people want to work and realize that this means staying relevant, particularly with technology increasingly defining workplace and social culture…”

Read the rest of Carl’s article here

Adopt, Advise, Customer Success, Data Visualization, Enhance, Manage, Service Management, Services

systemsGo invests in digital transformation consultancy

systemsGo today announced they have invested in Singapore-based startup CloudGo.  CloudGo provides digital transformation consultancy services specialized in delivering customer success and service management.

systemsGo Group CEO David Devlin said investing in CloudGo  assists customers in driving innovation through cloud technologies and digital transformation, which is a key priority for many CIO’s and business leaders.

CloudGo co-founder Rory Fitzpatrick said the investment will help facilitate working capital and hiring in Singapore and Australia through the year.  Fitzpatrick is the former Asian regional manager for Cloud Sherpas, which were acquired by Accenture last year. “Having the backing of a successful, 18-year old company like systemsGo allows us to bring stability and certainty to our clients and team, whilst still retaining a startup ethos,” he said.

The service management offering helps unlock the complexities of IT Service Management (ITSM) and drive best practices into other business services like Finance, HR, Facilities and Legal.  CloudGo has also built proprietary apps for recruitment, time and expense management, and integration to Slack and WeChat.  For customer success, CloudGo’s frameworks for sales, marketing and service excellence helps move from reactive CRM, to proactive or pre-emptive customer engagement.

About systemsGo

systemsGo is a well-established and growing IT professional services company based in Tokyo with offices in Osaka, Hong Kong, Shanghai, Beijing, Singapore, Sydney, Hyderabad and also servicing clients in Seoul, Bangkok, Kuala Lumpur, Hanoi and Taipei.

We are committed to providing our clients with the highest-quality professional services which include IT infrastructure support, systems integration, project management, consulting and staffing solutions. Our client portfolio includes blue chip private equity firms, pharmaceutical and biotech companies, law firms, IT companies, trading & manufacturing firms.  Find out more about systemsGo at

About CloudGo

A startup with scale, CloudGo is a digital transformation company that solves customer success, service management, mobility and analytics challenges.  CloudGo helps customers in ASEAN and Australia improve time to market, reduce the cost of manual paperwork and workflow, improve customer retention and cross-sell and improve user and customer experience.

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