IoT success depends on data management, security and privacy

1. Engaging in innovation without the right preparation

We all know that we should not innovate for the sake of innovation. According to Sam Edelstein, Chief Data Officer of the City of Syracuse, “the greatest danger to the IoT probably has to do with treating it as a shiny object.” He warns that preparation “takes time and money,” affecting its potential. “Without it,” he adds, “investing in IoT can result in little or no benefit.”

2. Not clear understanding of data or defining the exact problem

The preparation must be rooted in clarity. Dana Blouin, IoT thought leader, reports that “the biggest mistake a company could make to endanger itself would be to not clearly define a data protection policy that clearly outlines the extent of the data collected, will be and how it will be used. “

Calum Barnes, Senior Manager at Xively, adds that not all data is good data. This leads to excessive collection that comes with its own problems – from treatment to safety. “All data is not created equal. Although collecting and processing data for actionable intelligence is a major benefit of connected devices and IoT, companies should first understand the problem they are looking to solve and collect the data that will help with to solve this problem. “

3. Don’t ask the right questions

Kirk Borne, Principal Data Scientist at Booz Allen Hamilton, reminds us that “the promise of IoT is greater visibility and actionability.” Furthermore, I claim that “this promise can work” if we do not ask the right questions, such as:

  • Who owns the data?
  • How do we ensure data quality, discovery, usability and security for the many different teams and business units that create, use and manage the data?
  • What are the key business issues and goals that drive this data we collect and use?
  • How do we manage ad hoc data analytics? Do we limit it or encourage it?

4. Fails to anticipate the flood of data and the breadth of complexity

“Data management is becoming increasingly complex with the breakdown of the company’s tech boundaries, [with] data flowing to and from a range of devices that are more often mobile and across a wider range of operating systems and platforms, ”said Ian Moyse, Sales Director at Axios Systems.

Rob Steele, consulting systems engineer at RoundTower Technologies, adds, “Most companies already have a big data problem as they are constantly trying to keep up with the influx of new data, including the rapid growth of IoT. “

5. Keeping too strong to hold on to data

For many, management is synonymous with control – that is, to ensure safety and compliance, including data quality. But Chuck Martin, editor at MediaPost, argues it’s a mistake to “too tightly limit the ebb and flow of information, especially between and between connected devices.” That kind of grip can quickly break down the agility and agility that we strive for.

6. Skip the best practices for compliance

Compliance with best practices is there for a reason and should be embraced. According to Glen Gilmore, rector of the Gilmore Business Network (digital marketing provider and strategic consultant for social enterprise): “The Federal Trade Commission (FTC) has encouraged the company to adopt specific best practices regarding big data and connected devices. The failure to adhere to these articulated best practices is a failure of governance and Achilles’ heel of legal responsibility through the use of big data and IoT. “

7. Underestimation of the impact of security and privacy

Bill McCabe, a recruit at SoftNet, says it is a mistake to “underestimate the extra security and privacy requirements that come with the introduction of IoT.”

When everything is connected, everything is in danger, Gilmore points out, and “a data breach destroys consumer confidence and can destroy a company’s reputation and business. In the rush to take advantage of big data and connected devices, companies put themselves at great risk by not putting privacy and security first.

“IoT data collected for analysis often includes sensitive customer information. This data should be treated as an asset – managed, secured and protected for privacy reasons.

8. Taking data platforms (and people skills) for granted

We often assume that the infrastructure – both the platform and the people – is there to support our innovations. But Steele urges us to look hard at such assumptions. “The infrastructure on which data land is overlooked and is a critical foundation for handling mass volumes of data in an efficient and secure manner. Businesses must use segregated or hyper-converged infrastructure with built-in security and Hadoop Distributed File System (HDFS) capabilities. “Then, he says, we can focus more on quality and governance.

Moyse points to “strong, in-house expertise and change methods … It will be far too easy for an employee or department to self-service an IoT device that we have seen with bring-your-own-device (BYOD) and cloud services. applications. “This, he says, exposes the company to” the risk of an unplanned and unexpected IP device connecting through the corporate network. “

Like any investment, “Businesses need to invest time and resources to ensure their employees practice adequate online security and do not reveal weaknesses through equipment ignorance or worse, trust in its apparent innocence,” adds Steve Prentice, Senior Writer at CloudTweaks.

9. Working under a veil of complacency

We need to take ownership of our data management. Martin warns that we must not fall prey to “complacency with regard to external technologies and expect external suppliers to have products that are completely bulletproof.” Do the necessary due diligence to ensure that governance is covered – or pay the price.

10. Wait until all the ducks are in line

Finally, we often wait until every possible crack has been leveled. But don’t wait too long. According to Daniel Newman, CEO of Broadsuite Media Group, “It’s a risk to wait to leverage the power of big data – but even if you don’t strategically step in, your compliance management plan should be a priority when you do. “Translation: Get involved.

Internet of Things – Stand up to the challenge

These common errors are generally related to big data. But with IoT, big data has become even bigger and more dynamic, reinforcing both the opportunities and the challenges. The resulting need for data management, data security and data protection has never been greater. As Borne reminds us, in the words of Dwight D. Eisenhower: “Plans are nothing. Planning is everything. “So plan away – and then get going.

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