Your Environment Dictates Your Mobile Analytics Design

Your Environment Dictates Your Mobile Analytics Design by Kaan Turnali

Anyone who has designed or developed a new product knows that understanding the environment in which the product or solution will be used by its end users is extremely important.

The environment is where we can successfully connect audience and purpose not only to leverage the technology’s strengths but also to minimize its weaknesses within a supported infrastructure.

We need to go beyond just identifying the basic parts of our environment and instead taking a holistic view of the entire system in order to deliver an integrated mobile solution that is consistent and predictable at each layer. Read more

Why Purpose Matters In Mobile Analytics Design

Why Purpose Matters In Mobile Analytics Design by Kaan Turnali

A rise in the use of mobile devices and applications has heightened the demand for organizations to elevate their plans to deliver mobile analytics solutions. However, designing mobile analytics solutions without understanding your audience and purpose can sometimes backfire.

I frequently discover that in mobile analytics projects, understanding the purpose is where we take things for granted and fall short—not because we don’t have the right resources to understand it better, but because we tend to form the wrong assumptions. Better understanding of the “mobile purpose” is critical for success and we need to go beyond just accepting the initial request at the onset of our engagements. Read more

Understanding Our Audience Is Key To Successful Mobile Analytics Design

Understanding-Our-Audience-Is-Key-by-Kaan-Turnali

It goes without saying that when we design anything, we must know and understand our audience well. But I often find that in mobile analytics projects, this is where the first oversight happens—not because we lack the knowledge, but because we make the wrong assumptions.

With the design of mobile analytics solutions, we promote the idea that we need to go beyond just knowing our audience by creating every opportunity for greater user interaction right from the onset of our engagements. Read more

Key Design Elements For Mobile Analytics Solutions

Key Design Elements For Mobile Analytics Solutions by Kaan Turnali

The advent of the mouse and large screen-dependent design elements of the PC era influenced the makeup of traditional analytics solutions. Similarly, mobile analytics comes with its own design elements that replace the mouse with touch screens, which merge the input and output components into a single device.

Mastering these mobile design elements can benefit mobile developers (not just mobile analytics teams) in order to deliver on the promise of mobile and mobility solutions. Here are several key design elements that I’ll cover in more detail in this series. Read more

Empathy, Design Thinking, And An Obsession With Customer-Centric Innovation

Design Thinking Empathy by Kaan Turnali

To deliver innovative, customer-centric solutions through design thinking, we must begin with empathy.

In its simplest and purest form, empathy enables us to not only experience and understand another person’s circumstances, but it also puts us in our customers’ shoes to experience what they are feeling.

This is where we find the innate struggle born out of user frustrations and bound to the intrinsic value chain of the user experience.

Without a doubt, empathy is the most important design thinking principle I will cover in this series. Its universal application offers infinite promise. Read more

Building Mobile Analytics Solutions With Design Thinking

Building Mobile Analytics Solutions With Design Thinking by Kaan Turnali

When we design for mobile analytics, we need to apply the mobile mindset to all facets of user interactions, not just what we do when we are online but also what we do offline. In my first blog of the series, I discussed the importance of embracing a mobile design philosophy that will be unique to each of us and the environments we work in.

This is important because our design philosophy will be the guiding light when best practices alone may not be enough to help us navigate in uncharted waters. I want to expand on this idea and further articulate what it looks like. Read more

Successful Mobile Analytics Solutions Demand A Mobile Mindset

Successful Mobile Analytics Solutions Demand A Mobile Mindset by Kaan Turnali

When we design for mobile analytics solutions, we are not just building a report or a dashboard. We’re designing to deliver a superior mobile user experience each and every time. This means we need to consider all facets of user interactions and take a holistic approach when dealing with all aspects of the “mobile analytics user life cycle”. This life cycle starts before installation and does not end after the mobile analytics asset is downloaded and consumed.

In this new series, I will be covering many aspects of the mobile analytics design from installation to user interface (UI), from functionality to performance. I consider these best practices as a framework for innovation that are applicable to all mobile analytics solutions regardless of our organization’s size, industry or business model.

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Competing On Design Thinking

Competing on Design Thinking by Kaan Turnali

Design thinking doesn’t guarantee innovation, but innovation always hinges on design-thinking principles.

Steve Jobs famously said, “Design is not just what it looks like and feels like. Design is how it works.” Design thinking takes this notion further and provides a set of tools to power innovation through design.

As the popularity of design thinking continues to expand and spread across a variety of domains, it begs the question: Will design thinking ever reach the point of diminishing returns? In a recent Harvard Business Review post, IDEO CEO Tim Brown entertained a similar question: “When everyone is doing design thinking, is it still a competitive advantage?”

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Analytics Excellence Starts And Ends With Leadership

Analytics excellence demands leadership excellence at all levels of the organization—not just at the top.

Analytics Excellence Leadership by Kaan Turnali

In my last post, I described analytics excellence as the relentless pursuit of driving growth and profitability. Of all the pieces we’ll explore in this series, leadership is most important to analytics excellence because our success depends on it more than anything else.

While the role of executive leadership is critical to any project, several aspects of enterprise analytics require senior executives to be closely involved. Moreover, although the CIO/CTO plays a vital part in making sure the right technology is acquired or developed, executive leadership—and more important executive ownership—from the business side provides the right level of partnership to run on all three cylinders of analytics: Insight into the right data, for the right role and at the right time.

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4 Ways We Can Redefine Innovation In The Enterprise

4 Ways <em>We Can Redefine Innovation In The Enterprise by Kaan Turnali

If we want to drive growth and profitability in the enterprise, we need to redefine innovation. Changing how we think about innovation directly influences our ability to transform our organization and execute our strategy.

The concept of innovation means different things to different people. Sometimes, it is even used interchangeably in various roles and functions. Merriam-Webster offers this simple definition: “A new idea, device, or method. The act or process of introducing new ideas, devices, or methods. The introduction of something new.”

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