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The scramble is on to ensure compliance with CCPA

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California companies are struggling to prepare for the impending implementation of the California Consumer Privacy Act (CCPA). To address this, new ways of workting are needed, says Tom Pendergast of the company MediaPRO.

Such is the extent of the challenge faced by businesses, one survey finds that 86 percent of U.S. companies describe CCPA compliance as a “work-in-progress.” Adding to that, MediaPRO’s 2019 “Eye on Privacy Report” found that half of U.S. employees have never even heard of the regulation.

In terms of what businesses need to to do to meet the CCPA January 2020 implementation date, Digital Journal caught up with Tom Pendergast, MediaPRO’s Chief Learning Officer for strategic advice.

Digital Journal: What is the idea behind the CCPA?

Tom Pendergast: At a glance, the big idea of the CCPA sounds simple: give individuals control over the use and sale of their personal information. The bill acknowledges that times are changing, and that it’s basically impossible to “apply for a job, raise a child, drive a car, or make an appointment” without sharing personal information.

And because technology plays such a big role in daily life, consumers are practically being held hostage by businesses: the self-appointed custodians of their data. In many cases, these businesses don’t always have the best interests of consumers in mind; for example, the bill cites the Cambridge Analytica scandal of March 2018 as a primary factor in motivating the public’s desire for privacy controls and transparency. So the big idea is to put control in the hands of the consumer or data subject.

DJ: What are the main requirements of the CCPA?

Pendergast: There are countless ways that the CCPA will impact a businesses’ policies and procedures, depending on how well it has already incorporated policies and practices around the handling of personal data. So at a micro-level, the requirements of the CCPA are too many to count and too diverse to accommodate readers from across different industries. However, there are five very clearly stated rights that the CCPA grants to Californian consumers which will guide compliance requirements. In other words, the CCPA’s requirements are to do whatever an organization needs to in order to grant consumers these five rights.

Those rights are, in brief: 1) consumers can know what data is collected about them; 2) consumers can know if their information is being sold, and to whom it’s being sold; 3) consumers can say “no” to sale of their information; 4) consumers can access their data (and amend/delete it, if desired); 5) consumers get equal service and price, even if they exercise their rights. The implications for how a company builds the capacity to respect those rights is pretty huge.

DJ: To what extent is the CCPA based on European GDPR?

Pendergast: I think it’s safe to say that the CCPA is inspired by the GDPR but it might be going too far to say it’s “based” based on the GDPR. Consumer rights granted by the CCPA are similar to the GDPR’s rights for EU citizens, but they aren’t copy-pasted from the GDPR’s text.

The CCPA differs in handful of significant ways. One notable way is that the CCPA doesn’t focus the “legal basis” for collecting and processing personal data, which is essential to the GDPR. In effect, the CCPA gives affected businesses more authority over why they process data, so long as they do so with consumer rights in mind. But zoom out a level, and I’d say that both the CCPA and the GDPR are motivated by a desire to shift the power dynamic around the control of personal data from corporations back to the individual.

DJ: What are the key challenges businesses face?

Pendergast: It will all depend on the businesses existing maturity around data protection. If they’ve already done all the work to get prepared for the GDPR, for example, then there will be relatively minor improvements or additions to both policy and technology. But if the business is just getting started on solid data protection and handling practices, the lift could be very heavy in terms of changes to internal data handling practices, business policies, etc. A recent report on GDPR showed that smaller businesses have gone out of business rather than taking on the costs of compliance, and I suspect similar things will happen with CCPA.

DJ: What should businesses be doing?

Pendergast: One could write whole books answering this question. It comes down to assessing what it will take to meet the requirements in terms of impact on technology, process, and people, and then building a systematic plan to get into compliance. For many businesses without the expertise to do that assessment, the first thing will be to hire an experienced privacy professional to help them make a game plan.

One element that businesses don’t consider frequently enough is the need to develop an educated population. Starting a privacy awareness program that informs employees about what constitutes personal information, how it should be handled and protected, and what they should do if they suspect there is a privacy incident is an important but often overlooked component of meeting regulatory guidelines.

DJ: Will the CCPA fully address consumer concerns over privacy?

Pendergast: The answer to this question is immensely complex because it ventures into the area of the human psyche, which is about as weirdly complicated a place as we could possibly investigate. First it’s important to consider whether consumers really want their privacy protected. This varies by individual and by what scandal is in the news cycle; regardless, people’s actions don’t seem to follow the assumption that people want privacy (the famous “privacy paradox.”)

For example, in the wake of Facebook’s various scandals and the “delete Facebook” campaign … Facebook’s user base is essentially unchanged (well, Facebook monthly deletes more fake accounts than there are consumers in most countries, but that’s another issue). Basically, people want the benefits that our modern technology provides while still wanting to remain “private.”

Wouldn’t it be nice to eat pizza and friend chicken and tacos and ice cream for every meal and stay at your ideal weight? Get out of here. Consumer concerns about privacy won’t be fixed by CCPA, in fact, most consumers probably won’t even notice it or take advantage of their rights. However, whether or not consumers realize it: they need those rights to protect them from abuse and collateral damage to our society, often without our knowledge.

The CCPA is 100 percent better than what we have now: nothing. The bill is an essential first step towards amending the Wild-West landscape of big data that exploits our personal info all the time and, as we’ve seen, complicates our domestic and international politics. It’s a problem that needs to be solved, and maybe CCPA will get the ball rolling.

DJ: Will there be a US wide roll out of CCPA type legislation?

Pendergast: It’s possible, but most people place the odds of federal privacy legislation getting enacted pretty low in the short term. In February, Congressional House and Senate hearings discussed the subject from various angles. Lawmakers are eager to avoid a “grab bag” of state laws percolating across the country, and such legislation is a mostly-sort-of-probably-bi-partisan issue. However, predicting whether legislation will make it to the president’s desk before the 2020 elections has about as much success as predicting the outcome of the election itself. My opinion is that we’ll be dealing with the multiplication of state laws mimicking the CCPA until after the next presidential election.

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IoT + Data Analytics = Store Operations Intelligence

How many times have you visited a grocery store the day before a snowstorm or other major weather event only to find the bread and milk aisles wiped clean? What might be a disappointment for you is also a missed opportunity for grocery stores, an industry with an already razor-thin 2% margin.

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How many times have you visited a grocery store the day before a snowstorm or other major weather event only to find the bread and milk aisles wiped clean? What might be a disappointment for you is also a missed opportunity for grocery stores, an industry with an already razor-thin 2% margin.

Hungry for efficiencies

Inventory management, especially for perishables, is a delicate dance. Too little of it and grocers have lost a revenue opportunity every time a customer leaves empty-handed. Too much of it and grocers lose revenue again, this time from spoilage or having to slash prices to clear shelves. Spoilage is a significant problem — grocery retailers lose an astounding $70 million annually because of food simply going bad. 

Market economics further muddies the picture. A whopping 82% of grocery companies are increasing their stock of fresh foods in response to customer demand so there’s simply more perishables to manage — and therefore more at stake.

To ensure not too much capital is tied up in unsold goods, grocery stores forecast demand and supply based on a variety of conditions, including weather, time of year, and even weekly foot traffic. But as Cognizant as observed, a whole host of additional factors affecting inventory management can drain grocery store revenues.

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Smart systems

One of Cognizant’s clients, a major supermarket chain, found that working with older equipment also challenged inventory management. 

Internet of Things (IoT)-embedded sensors track ambient temperature, temperature of the food, humidity and even electric current flowing into refrigerators to keep a pulse on perishables. But this leads to grocery stores drowning in data. The sensors cry wolf too often forcing the retailer to waste expensive technician time on every perceived crisis. Such waste happens because too often, sensors do not accurately reflect the whole story. 

Cognizant has shown that data alone is not enough, strategic reading of the data tea leaves also matters in increasing efficiencies. Using the IoT sensors, Cognizant helped the grocery retailer monitor inventory in real time — the pressure on sensitized shelves changes when inventory counts drop — and restock accordingly. Even better, Cognizant’s solution analyzed the data feed in real time, at the edge. Algorithms accounted for many variables including work load, cost of energy at different times of the day, whether the door was open or closed, to recommend intelligent solutions. 

Using edge data analytics and IoT sensors, grocery stores can automate many fixes, proactive reorder inventory and even automatically churn out work orders for technicians only as and when needed.

When inventory management is a delicate and challenging operation, grocery retailers need to be strategic about how they invest precious resources. IoT + edge analytics is a game-changer. It gives retailers the intelligence they need to deploy resources effectively and proactively so they can better cater to demand and cut waste. 

IoT-driven asset management and data analytics will be key to success in the grocery industry. Climate change has increased the clamor for sustainability and less food waste. The timing for smart solutions could not be better.

Read more about Cognizant’s IoT refrigeration solution here.

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IoT + Big Data = Facilities Management Intelligence

In the equation IoT + X = Operations Intelligence, what role does big data play in facilities management?

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The way we work today has changed. The workforce is becoming mobile and companies rent temporary space depending on needs.

At the same time, facilities management professionals have a number of mandates, says Nancy Berce, chief information officer at Johnson Controls. They need to control costs while still delivering personalized experiences. They need to regulate access so only authorized personnel can enter key areas of buildings. They need to conform to wider regulations imposed by the pressing concerns of climate change.

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The Internet of Things (IoT) helps deliver such efficiencies by helping facilities management professionals harvest and analyze big data — smarter and at scale.

The parallel evolution of big data and IoT

Facilities management professionals have monitored heating and cooling systems and fire and security systems for decades. But IoT has delivered a fundamental shift in how that monitoring occurs. IoT-embedded devices can relay health of the equipment in real time and the big data from such equipment help professionals manage facilities on a much more granular level.

No more blindly replacing all the light bulbs every six months. A digital-enabled platform can alert professionals to systems that are in danger of failing so the appropriate actions kick into action only as and when needed — with minimum cost to the facility and minimum disruption to the worker. “We now have a level of intelligence and insight from smart algorithms where we can be proactive about preventative maintenance and predict efficiency opportunities a lot sooner,” Berce says. 

How to leverage big data and IoT

Johnson Controls’ Bee’ah green building project, illustrates just how smart IoT-driven buildings can drive efficiencies at scale to deliver a nearly fully automated workplace of the future, with temperature and lighting controls just a few of the parameters that adjust depending on workforce distribution. 

IoT increases the number of data sets that facilities can play with and allows them to pinpoint trouble before it brings down the entire system. How does one leverage the benefits of big data and IoT to deliver intelligence?

Case Study: Advancing Smart Manufacturing Operations Value with Industry 4.0 Platform

First, connecting all the big data points together is key to see the larger picture, Berce says. Companies might already have the information they need for smarter operations, but they might be in silos. IoT data related to security, for example, can be connected to an active employee directory, to automate entry to more sensitive areas of buildings (think operating rooms in hospitals). Companies can even marry IoT systems with external weather data to manage their cooling systems.

Second, understand the insights you are looking for and use IoT accordingly, Berce says.

Third, retrofit legacy systems with IoT devices as needed. 

Finally, make the data analysis easy to visualize, advises Berce. A digital platform where professionals can easily detect anomalies makes it better to find the needle in the haystack and act on the intelligence that big data and IoT are delivering. 

IoT and big data allow professionals to do all things at once — to both zoom in and zoom out as needed. Such flexibility allows facilities management to meet the growing demands for efficiency while customizing personalized experiences for each and every worker.

[Download]: A New Approach to PLM

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IoT + Smart Edge Computing = Operations Intelligence

In the equation IoT + X = Operations Intelligence, what role does smart edge computing play?

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You don’t always need a sledgehammer to crack a nut.

The general premise driving the use of the Internet of Things (IoT) and data analytics to deliver intelligence is that the end actions usually have to be executed through some kind of blanket (often human) intervention. The shaky fallacy at the core of this idea is that it takes a sledgehammer to a nut in that even small adjustments to operating conditions requires a large investment of resources. Smart edge computing addresses this challenge and applies a solution that is more proportional to the size of the problem.

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Whether it’s a thermostat or a light switch or a card reader, most edge devices that control today’s commercial facilities are passive and wired devices, says Datta Godbole, the chief technology officer for Honeywell Building Technologies. Smart edge computing introduces a more efficient way of corralling the power of IoT to deliver operations intelligence. Smart edge devices can act on intelligence on the frontlines and save the heavy-duty computing for the cloud.

Smart edge computing helps companies, including facility management organizations, distribute computing needs more efficiently: you execute the small changes at the edge and save the heavy lifting for the cloud. “Time critical decisions are executed quickly without going to the cloud, while cloud computing is great for analyzing long-term trends through AI algorithms,” Godbole says.

Decisions at the edge

It is this “quickly” factor, the latency that is saved, that makes smart edge computing so valuable as part of the equation IoT + smart edge computing = operations intelligence.

Imagine a commercial building packed with fire and smoke detectors. Facilities management needs to maintain and periodically inspect these devices, which involves days of intensive work. What if instead the smoke detector could signal when it’s ready for maintenance – much like your car does? “In the future, all equipment in the building will be smart and can diagnose themselves and ask for help,” Godbole says.

The IoT part of the equation comes from the many sensors measuring a variety of parameters including temperature, humidity, light, foot traffic, occupancy and more. The introduction of IoT expands the working data set so management can more finely calibrate the final experience. “If we have IoT sensors that blanket a whole building, that conduct micro-measurements of every part of the building, we get a much truer picture of what’s happening in the building and you can control air conditioning or heating accordingly,” Godbole says.

Case Study: Advancing Smart Manufacturing Operations Value with Industry 4.0 Platform

In a sense, IoT allows for both personalized comfort and efficiencies at scale. When an employee swipes her card and enters her workspace, what if IoT-embedded edge devices automatically gave her what she was looking for: a slightly warmer conference room, lighting that adjusted depending on where she was working and her favorite snacks lined up in the kitchen?

Foot traffic sensors and occupancy patterns in the long term can dictate heating and cooling requirements so management can optimize these over time.

The use of IoT in conjunction with smart edge computing will lead to a more efficient allocation of computing resources and better and faster decision-making. No longer do you need a sledgehammer for every problem, a fine scalpel will work even better.

[Download]: A New Approach to PLM

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