Gartner Report Highlights Growing Trend for Business-Centric Analytics Architecture

In June, Gartner released a new report titled: ‘Market Guide for Data and Analytics Service Providers’. Peak Indicators’ Chairman Andy Ball takes a look at the key findings:

Like many services-based organisations, we are continually reviewing:

  • The needs and pain points of our existing customers
  • New offerings from our technology partners
  • Research from organisations such as Gartner

Our reasoning behind doing this is to gain a wider understanding of the business analytics market. This enables us to validate our observations and to support our business planning and investment strategies.

One thing that is very apparent from Gartner’s ‘Market Guide for Data and Analytics Service Providers’ report is that many organisations are seeking to reduce their investment in large, enterprise-wide, IT-owned, governed data warehouse deployments.

Gartner suggests that as many as 69% of organisations will be reducing or simply maintaining their current level of investment in these architectures and technologies.

We are actually now seeing several organisations looking to service providers such as ourselves to maintain and run their data warehouse and descriptive analytics deployments as a managed service.

This is so that they can focus their investment (resources and money) on developing the internal skills and analytics platforms that allow their business users to undertake diagnostic and predictive analytics analysis.

Business-Centric Analytics Architecture

Gartner’s research also suggests some 93% of organisations are implementing or thinking of implementing a more agile, business-centric analytics architecture (see figure 1).

So what changes are we going to see? Well, it’s likely that there will be an increased demand for Managed Services teams, such as Peak's, that provide 24/7 support for customers’ enterprise-wide, data warehouse and reporting solutions.

It is vital now more than ever that analytics service providers adapt to this need and like Peak Indicators operate on two major fronts at the same time:

  1. We continue to work with the traditional BI ‘mega-vendors’ such as Oracle
  2. We’ve also now moved towards more agile-based cloud offerings from the likes of Birst (Infor) and Microsoft too

This means that we’re well placed to support analytics deployments on both private and public cloud architecture (such as Azure and AWS).

A Lack of Data Literacy Skills

In addition to addressing internal architecture and technical skills, we are well aware that as organisations look into predictive analytics, they will recognise that they have internal skill gaps to address.

Recently, Qlik reported that some 76% of workers do not have the data literacy skills required to read, work, analyse and argue with data. In Europe, this number was even higher at 83%.

At Peak we firmly believe in the value of increasing a company's internal skill set to handle the ever changing demands of the industry. With this in mind, we’re delighted to announce that in September, Dr Paul Clough will be joining Peak Indicators.

Over the last 4 years, Paul has been leading the iSchool MSc Data Science programme at Sheffield University. With us, he will be very much focused on supporting our customers in addressing their data literacy skills and supporting them as they develop their data science skills.

As well as ensuring our clients are equipped with the necessary skills, we are keen to provide products and services that support these more agile data analytics processes.

To this end, we have been working on Tallinn Machine Learning, which automates many of the processes required to build and deploy predictive models. Our objective has been to automate and speed up the time-consuming tasks carried out by experienced analysts and data scientists.

Ultimately, this means that organisations can obtain a faster return on their analytics investment.

To find out how Peak Indicators could support you in delivering your Managed Analytics strategy, get in touch with our team.

Contact us here.

Subscribe to our Newsletter

If you enjoyed this article why not get great insights straight to your inbox

Leave a comment