How prepared are you to overcome the misuse of AI

How prepared are you to overcome the misuse of AI

Overcome the Misuse of AI Have you ever considered that the AI system integrated into your organisation's computing infrastructure could possess a threat? What if it is indeed true? Will it wreck your entire organisation and cause massive breaches of sensitive information? We can only
Blockchain + Analytics: Enabling Smart IOT

Blockchain + Analytics: Enabling Smart IOT

Blockchain + Analytics Autonomous cars are racing down the highway at speeds exceeding 100 MPH when suddenly a car a half-mile ahead blows out a tire sending dangerous debris across 3 lanes of traffic.  Instead of relying upon sending this urgent, time-critical distress information to the
Will Crump

How To Humanize Your Data (And Why You Need To)

How To Humanize Your Data

The modern enterprise is digital. It relies on accurate and timely data to support the information and process needs of its workforce and its customers. However, data suffers from a likability crisis. It’s as essential to us as oxygen, but because we don’t see it, we take it for granted. Because we take it for granted, we don’t often think we need to go open a window for fresh air.

We work with data constantly but often don’t see how that data is used. Thus, it’s difficult to visualize the tedious work behind the product, which affects what we are “selling” as an experience or an outcome.

Consider a company that calls itself “the company that cares for its workforce.” This is the type of company that should know its employees. But consistently getting names, notifications, and other basic information wrong could make that company seem like it doesn’t care.

Why Humanizing Data Is Important

Why would an organization expend the effort to humanize data? The simple answer is that it reduces risk, improves business performance, and (to an increasing degree), it’s a necessity in transitioning to digital excellence. Every industry will have laggards who change slowly, but the best examples are organizations that recognize the data is underutilized within their businesses.

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This is important to acknowledge, as according to Gartner research, inaccurate and low quality data can result in millions of dollars of lost benefits per year for the average enterprise.

More specifically, data needs to feel personal because:

  • Intangibles are often dynamic and require context. For example, consider the data that makes up a customer record. Attributes such as a company name, address, and contact information seem basic, but the reality is these attributes change at an alarming rate when you look at a customer population as a whole. Customers have growing, shrinking, and changing businesses, too.
  • A customer isn’t just a record. Attached to a customer are orders, opportunities, and interactions that all build on the context of how a company serves and benefits from a customer. Learning and visualizing that context takes time, especially if it’s only supported through tribal knowledge.
  • It helps to bridge the likability gap and manage the organizational change to a digital enterprise. Stories that humanize data are essential in outlining the expectations for adding value, managing risk, and providing services to the customer. Humanizing data provides meaningful stories that quickly capture the context of data value and use.

How to Humanize Data

It doesn’t have to be complicated. These three basics will take your business a long way.

1. Spread the word. I’ve seen some spectacular examples of organizations humanizing data through videos, tent cards, gamification, and other messaging techniques that revolve around the “so what” and connect the data driving the event. There is no universal way to do this; each company culture responds to communication differently. However, companies simply need to make sure their methods start conversations.

2. Start during the orientation. Most organizations expend their change management efforts when change becomes necessary for more experienced workers. But there is a steady stream of younger, more digitally savvy employees entering the picture. Spell check and text messages are the norm for them, and these team members will be trusted to steward data in systems that were implemented around the time they got their first cell phones. The systems are neither smart nor agile and don’t have a sense of humor for what Siri misinterpreted. They do exactly what you tell them, whether you mean to say it or not.

3. Communicate every data issue by starting with the human elements and outcomes. Repetition and practice are important for reinforcement. Those who can best communicate contextual use and value of information and insights will determine leadership in the digital era. If we want to develop digital leaders, we have to practice and become versed in understanding data context and how it applies to problem-solving and innovation in the future.

There’s little question that data is vital for today’s companies. That’s why it’s troubling that so few companies are using it well. For example, only 36 percent of companies use it to guide strategic initiatives. Further, 41 percent of high-growth firms reported that data quality issues represent a barrier to using it for strategic planning.

Humanizing data might be the solution. It will give employees a sense of how important it is, which in turn will make them more likely to identify with data outcomes. In the long run, humanizing data will lead to a leaner, more efficient company.

By Will Crump

Will Crump

As president and CEO of DATUM, Will Crump brings more than 15 years of experience in building high-performance, cross-functional teams to compete in global venues. He is a sought-after voice in the areas of software product development, OEM and enterprise B2B web application technologies. For information on advisory services and DATUM’s SaaS, Information Value Management, visit DATUM’s website.

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