Leading-edge executives at organizations drive growth, innovate, and disrupt industries through emerging technologies: social, mobile, cloud, analytics, sensors, GIS and others. 85% of executives in a recent survey shared that “the need to drive innovation and growth” would have a moderate or high impact on IT services spending. But, today’s technology buyers face a fragmented, fast-moving landscape of niche technology and services providers in newer spaces (social, mobile, cloud) as well as new offerings from their largest global partners.
Often the leading- and bleeding-edge disruption comes from business stakeholders, rather than IT or sourcing executives; sourcing executives struggle to keep up with the fast pace of change that business demands. Our research shows that this fragmented, divisional, silo approach to buying (often under the radar screen) can create risk and go against enterprise IT strategy decisions.
To help their organizations navigate through these emerging options, we have identified three key principles of IT sourcing strategy:
Change the rules for working with vendors and partners. To thrive in the world of digital disruption and to enable sourcing of emerging technologies and services that drive digital disruption, sourcing strategists must create new rules for working with technology partners. They must increase the emphasis on innovation and differentiation and treat partners who excel in these dimensions differently from other tiered suppliers.
The analytics community is experiencing a rebirth. A renewal. A renaissance. Why? Data is bursting from every corner, from every device, allowing brands to deliver relevant messages and offers to its customers. So, being an analytics connoisseur is important now more than ever. I mean, who else is going to play with all this data . . . and actually enjoy it?
Organizations must develop relevant marketing strategies across devices -- to different customers -- and have the advanced measurement and analytic frameworks to fuel decisions. And the perpetually connected customer is forcing organizations to act quickly, so near-real-time insights are paramount. My past research addresses this, specifically, how analytics professionals can use attribution as a way to understand the true value of each interaction point. This is even more complex because of the increase in cross-device usage. As a result,analytic pros are using savvy ways to connect information and to measure cross-device impact and incremental value.
Mobile BI and cloud BI are among the top trends that we track in the industry. Our upcoming Enterprise BI Platforms Wave™ will dedicate a significant portion of vendor evaluation on these two capabilities. These capabilities are far from yes/no checkmarks. Just asking vague questions like “Can you deliver your BI functionality on mobile devices?” and “Is your BI platform available in the cloud as software-as-a-service?” will lead to incomplete vendor answers, which in turn may lead you to make the wrong vendor selections. Instead, we plan to evaluate these two critical BI platform capabilities along the following parameters:
Animations. Does the product support animations? For example, if a particular dimension, such as time, has hundreds or thousands of values (as in daily values over multiple years), manually clicking through every day is not practical. Launching an automated, animated scroll up and down such a dimension is a more practical approach.