If You Are Looking to Invest in Advanced Analytics for IT, Exactly What Should You Be Shopping For? Part 1: Cost Advantage
September 29, 2017

Dennis Drogseth
EMA

Share this

This is the fourth in my series of blogs inspired by EMA's AIA buyer's guide — directed at helping IT invest in Advanced IT Analytics (AIA), what the industry more commonly calls "Operational Analytics." The goal was to create a "Consumer's Report" approach. And to do that we took it one step further. We created what we called "Shopping Cart Criteria" based on our prior research on AIA adoptions over the past three years.

We divided the sixteen shopping cart criteria into three parts:

■ Cost advantage

■ Environments

■ Scenarios

I will address each of these criteria separately in the next three blogs. In this blog, I'm going to address cost advantage.

Cost, overhead, and time to value are often key challenges in adopting AIA solutions. In the past, these factors have often been especially onerous. But we saw strong levels of improvement among many vendors, and surprising areas of innovation among others. For instance, four of the vendors in our buyer's guide were primarily SaaS. And three had SaaS options as well as on-premise.

For cost, we provided pricing models and maintenance fee percentages. Then we dove into three critical areas:

■ Time to Value

■ Administration and Support

■ Toolset Consolidation

Time to Value

"Time to value" is defined differently by different vendors, which we captured based on the data we were provided as well as phone interviews. We documented factors relevant to ease of deployment, time to learn unique environments, and proof points from deployment interviews, with special weight to documented times for achieving critical strategic results. In our research, we saw valid assessments ranging from meaningful value delivered within a single day, and in fact in two cases within several hours, to more conservative estimates in terms of weeks and months.

Administration and Support

Here we looked at design and upgrade requirements, as well as insights into administrative overhead from deployments, as well as maintenance options and costs. We gave serious weight to the breadth and depth of professional services offered — querying vendors on a list of options ranging from "planning and deployment" (which was provided by all but one vendor) to support for "business activity management" (supported only by two).

Toolset Consolidation

One of the most compelling reasons for investing in AIA is toolset consolidation — which can bring both OpEx and CapEx cost savings. For this criterion, we considered breadth and ease of integrations, breadth of effective stakeholder support, and proof points from commentaries in deployments. The number of fully supported integrations we saw across our thirteen vendors ranged from 10 to more than 100 out-of-the-box. We also noticed a growing trend not only to assimilate data from monitoring and other sources, but also to promote data outward to third-party tools and dashboards, as well as IT service management solutions for workflow, trouble ticketing, and in some cases CMDB/CMS updates.

Read Part 2: Enivornments

Dennis Drogseth is VP at Enterprise Management Associates (EMA)
Share this

The Latest

January 16, 2018

Looking back on this year, we can see threads of what the future holds in enterprise networking. Specifically, taking a closer look at the biggest news and trends of this year, IT areas where businesses are investing and perspectives from the analyst community, as well as our own experiences, here are five network predictions for the coming year ...

January 12, 2018

As we enter 2018, businesses are busy anticipating what the new year will bring in terms of industry developments, growing trends, and hidden surprises. In 2017, the increased use of automation within testing teams (where Agile development boosted speed of release), led to QA becoming much more embedded within development teams than would have been the case a few years ago. As a result, proper software testing and monitoring assumes ever greater importance. The natural question is – what next? Here are some of the changes we believe will happen within our industry in 2018 ...

January 11, 2018

Application Performance Monitoring (APM) has become a must-have technology for IT organizations. In today’s era of digital transformation, distributed computing and cloud-native services, APM tools enable IT organizations to measure the real experience of users, trace business transactions to identify slowdowns and deliver the code-level visibility needed for optimizing the performance of applications. 2018 will see the requirements and expectations from APM solutions increase in the following ways ...

January 10, 2018

We don't often enough look back at the prior year’s predictions to see if they actually came to fruition. That is the purpose of this analysis. I have picked out a few key areas in APMdigest's 2017 Application Performance Management Predictions, and analyzed which predictions actually came true ...

January 09, 2018

Planning for a new year often includes predicting what’s going to happen. However, we don't often enough look back at the prior year’s predictions to see if they actually came to fruition. That is the purpose of this analysis. I have picked out a few key areas in APMdigest's 2017 Application Performance Management Predictions, and analyzed which predictions actually came true ...

January 08, 2018

The annual list of DevOps Predictions is now a DEVOPSdigest tradition. DevOps experts — analysts and consultants, users and the top vendors — offer predictions on how DevOps and related technologies will evolve and impact business in 2018 ...

January 05, 2018

Industry experts offer predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2018 ...

January 04, 2018

Industry experts offer predictions on how APM and related technologies will evolve and impact business in 2018. Part 6 covers ITOA and data ...

January 03, 2018

Industry experts offer predictions on how APM and related technologies will evolve and impact business in 2018. Part 5 covers NoOps, Analytics, Machine Learning and AI ...

December 21, 2017

Industry experts offer predictions on how APM and related technologies will evolve and impact business in 2018. Part 4 covers the end user experience ...