Cloud Analytics – Storm in a teacup or plain sailing

It was only eight years ago, when a then colleague Dries van der Walt had returned from the States instructed to find new trends that we could implement in our business. He explained this concept of cloud computing and that was the next “big thing”. The more I listened to these new concepts, the more it sounded like a mix and mash of existing concepts (well at the time) of the old centralised mainframe model with the benefit and flexibility of client computing with new scalable possibilities. Just to make sure that our assumptions and doubts we correct, Dries and I attended an IT Web Brainstorm session at VodaWorld. The attendees were around 30 people, the conference was very conceptual and we weren’t too impressed at the time.

A year passed, and we decided to attend the same conference, surprisingly the conference had grown extensively to about 500 people and concepts were now real tangible products that could be consumed.
The penny dropped, the world we knew was about to change radically and if you wanted to be relevant to your customers, a huge shift needed to take place.

Cloud is now a part of every C-level’s strategy road map in some form or way. Hard to believe that only eight years ago the debate was if this was only a fad!
As service offerings are maturing we see that more and more customers are giving their processing, data and security to cloud vendors.

Along with social, mobile and analytics, cloud technologies and models have earned a place as one of the core disruptors of the digital age. And while the cloud market has matured over the years, its interaction with the rapidly growing data and analytics landscape suggests that there are plenty more disruptive opportunities.

Legacy Business analytics

Traditional Business Analytics vendors have a massive legacy investment in their existing customers, and the question gets asked, do they really want to disrupt their existing “cash cows”? Is there a place for a balanced approach to maintain existing on premise deployments, while developing a new customer base with cloud technologies?

New cloud vendor may have an advantage in that they have no legacy revenue streams to maintain. This in a way is a double-edged sword, as they still need to gain market share or critical viable mass while the market is shifting to their platforms.

Our platform, OQLIS is in the same boat and we are currently looking at the following areas to make the transition to “the next generation” business intelligence roadmap as easy as possible.

Adhering to security standards for the cloud emerges.

With an increasing number of organizations in South Africa migrating many of their systems to cloud services, the formation of a baseline for security standards is becoming critical, enabling even greater migration to the cloud and compelling enterprises to integrate cloud based services into their IT resources, this will mean that Cyber attacks and data breaches in the cloud could go from perception to reality.

The necessary security steps need to be well planned, and the Cloud providers need to be adopting existing standards, as well as looking at new possibilities.

Data ownership and sovereignty of sensitive intellectual property

Increased concerns around data privacy. Europe recently set strict regulations around data, which means that organizations will need to be strategic about how they’re tackling data security issues. Rather than considering data privacy an afterthought item, people will need to be proactive in explaining exactly how they will use the data and ensuring compliance with local and global laws.

Connectivity and bandwidth considerations

As the decision maker of an organisation, this subject is usually on the forefront of the CIO’s mind, in the words of Kenny Rogers’ song, “knowing what to throw away and knowing what to keep” in the datacentre is going to be a critical task for businesses and the IT professionals who support them.

Advances, not only in cloud computing technologies, but in virtualization, energy efficiency, and networking technology is shaping the datacentre of the future. These are tangible cost that need to be taken into consideration when moving analytics into the cloud.
The OQLIS technology has been designed to present only the data visually and not the actual total data set, therefore reducing the impact on the bandwidth.

Ease of adoption of new application for Business Analytics

  • Internet of Anything. Businesses are look to deriving value from all areas where data is generated, Not only does the Internet of Things have value for organisation, but rather broadening the “data portfolio” to Internet of Anything as this can provide further insights. Getting value from data extends beyond devices, sensors and machines and includes all data including that produced by server logs, geo location and data from the Internet
  • Data at the jagged edge. Businesses are starting to look beyond the edge of their datacentres all the way out to the jagged edge of data. Due to the advent of new technologies such as smart phones, wearable technology and other data rich collection devices, data flows now originate outside organisations the data from these devices, sensors and servers. There is a huge opportunity to manage the security perimeter as well as to provide complete data provenance across the ecosystem. This is creating a new paradigm that requires new thinking and nimble tools to gain competitive advantage
  • The democratization of data. Vendors are delivering new solutions and user friendly tools to businesses and individuals to collect data easier around the world that to which they previously did not have access. Self-service is the order of the day.
  • New applications for data insights: organizations and individuals can tap data and analytics to deliver personalized and engaging experiences across industries including energy, all forms of production, sports, social good and music.

More option than ever before to access and prepare data points

  • The NoSQL takeover, the shift to NoSQL databases as a leading piece of the Enterprise IT landscape as the benefits of schema-less database concepts more pronounced
  • Apache Spark lights up big data. Apache Spark has moved from a being a component of the Hadoop ecosystem to the big data platform of choice for a number of enterprises.
  • Options for “preparing” end users to discover all forms of data grows. Self-service data preparation tools are exploding in popularity. The shift toward business-user-generated data discovery tools such as OQLIS that greatly reduce time to analyze data.
  • MPP (massively parallel processing) Data Warehouse growth is heating up…possible “death” of the data warehouse has been overhyped for some time now, but it’s no secret that growth in this segment of the market has been slowing.

OQLIS can provide thoughtful insights into

  • Self-service analytics
  • Shorter time to value
  • Sharing and collaboration
  • Access and availability
  • Data driven decisions

Start your data journey today! Don’t wait till the storm blows you away! Contact to book a demonstration.