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Big data key to energy

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The current energy situation in South Africa has caused many companies to look at ways to manage their power usage. However, JACO BARNARD of Wipro. says that in order to properly manage consumption, vast amounts of data need to be collected.

Given the current South African power and energy situation, energy management has become a necessity rather than a choice, particularly in the retail environment. Reducing carbon footprint while adopting sustainable strategies to balance business objectives with environmental responsibilities has become critical. Aside from increasing international pressure to adopt greener technologies as part of sustainability initiatives, the cost of energy has become a significant challenge. While energy-saving initiatives around lighting, heating, ventilation and cooling can provide assistance, these are often capital-intensive projects that need to be implemented effectively to deliver maximum benefit. In the low margin, high volume retail environment, it has become essential to keep the spiralling cost of energy under control to maximise profitability by optimising operational expenses. This requires data, and more importantly insight into data that can drive actions that will help retailers optimise energy management to curb costs.

The importance of data

For many retailers, problems with power supply can be catastrophic. Without power, cold chain logistics can be compromised and hundreds of thousands of Rands worth of perishable stock can be spoiled. In addition, stores themselves cannot operate, losing business and customers. As a result, many retailers have resorted to backup power and alternative energy sources. However, these initiatives are often costly, particularly if energy consumption is not managed and optimised. In order to manage the cost of energy, both from traditional and alternative power sources, effective energy management is required. This in turn requires data, as without data around metering, measurements and monitoring it is all but impossible to gain the insight required to manage energy consumption. Collecting consumption data is the first step, as this data can then be analysed to deliver the required insights to drive energy saving and improvement initiatives.

By collecting large volumes of data around energy consumption, costs, asset operations and business policies, it is then possible to determine potential operational savings. For example, temperatures can be optimised according to locational and seasonal climate, unnecessary lights and cooling can be switched off when not required, and efficiency of working assets such as refrigerators can be assured. This data can also be collected over extended periods and analysed to determine long-term trends, energy leakages such as chronic equipment efficiency issues, insulation problems and more. Savings can then be achieved by correcting major issues and fine-tuning operations and controls. There are hundreds of ways that energy consumption can be improved across areas such as lighting, electrical, cooking, air conditioning and refrigeration systems. This means that there are many opportunities for savings, but there is no ‘one size fits all’ approach. Big data and analytics are the crucial components in effective energy management.

Making big data work for energy efficiency

The first step in improving energy efficiency requires the establishment of savings protocols. Pilot studies should be carried out and savings strategies that can be actioned with data should be determined. The range or significance of savings can then be used to determine the feasibility of rolling these solutions out, based on spend and expected returns. The second step is to set up data collection mechanisms. The volume and method of data collection depends on the current technology deployed and how granular the data is required to be – for example monthly invoices on energy consumption will typically not provide enough visibility, so it may be necessary to implement a monitoring solution that provides sample data every half an hour to provide more accurate insight. Data may be collected via Building Automation Systems, directly through controllers or through management applications. Many legacy and proprietary systems do not allow any access to data, in which case metering and sub-metering analysis must be incorporated.

Simply collecting data will not enable retailers to determine savings, so once data has been obtained, it must be analysed in order to provide insight. This is a specialist skill set that may be expensive to maintain in-house, so often it is advisable for retailers to collaborate with an expert service provider. Given the volume of data, it is also advisable that structured methods and toolsets be put into place across all sites for analytical purposes, another area where an expert provider can assist. The final step is action, as savings will not result from insight alone. Volume is also essential, and retailers need to action initiatives based on insight across all or most of their sites to produce meaningful savings.

Beyond energy

Big data can be harnessed for more than just energy efficiency, and has potential to deliver significant additional advantage in the retail space. For example, the customer experience can be improved by collecting data from various channels and using it to improve in-store temperatures for comfort, or by utilising online channels and sensor data to tailor the shopping experience. Store layouts can be improved, footfall can be increased and more. In addition, analytics can be leveraged to improve asset maintenance to help bring down maintenance costs and improve asset life. The data from in-store devices, video and wearable technology has the potential to improve sales effectiveness and improve workforce productivity. All of these initiatives will use the same foundation of big data and analytics.

Ultimately big data analytics, whether in the form of energy management or other initiatives, can help retailers to improve their competitive edge. More efficient operations and reduced costs lead to enhanced profits, as do improved customer experiences. Data and analytics are the crucial elements to more successful, more efficient and more profitable retail environments.

* Jaco Barnard, Head of Retail at Wipro, South Africa.

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Bring your network with you

At last week’s Critical Communications World, Motorola unveiled the LXN 500 LTE Ultra Portable Network Infrastructure. It allows rescue personal to set up dedicated LTE networks for communication in an emergency, writes SEAN BACHER.

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In the event of an emergency, communications are absolutely critical, but the availability of public phone networks are limited due to weather conditions or congestion.

Motorola realised that this caused a problem when trying to get rescue personnel to those in need and so developed its LXN 500 LTE Ultra Portable Network Infrastructure. The product is the smallest and lightest full powered broadband network to date and allows the first person on the scene to set up an LTE network in a matter of minutes, allowing other rescue team members to communicate with each other.

“The LXN 500 weighs six kilograms and comes in a backpack with two batteries. It offers a range of 1km and allows up to 100 connections at the same time. However, in many situations the disaster area may span more than 1km which is why they can be connected to each other in a mesh formation,” says Tunde Williams, Head of Field and Solutions Marketing EMEA, Motorola Solutions.

The LXN 500 solution offers communication through two-way radios, and includes mapping, messaging, push-to-talk, video and imaging features onboard, thus eliminating the need for any additional hardware.

Data collected on the device can then be sent through to a central control room where an operator can deploy additional rescue personnel where needed. Once video is streamed into the control room, realtime analytics and augmented reality can be applied to it to help predict where future problem points may arise. Video images and other multimedia can also be made available for rescuers on the ground.

“Although the LXN 500 was designed for the seamless communications between on ground rescue teams and their respective control rooms, it has made its way into the police force and in places where there is little or no cellular signal such as oil rigs,” says Williams.

He gave a hostage scenario: “In the event of a hostage situation, it is important for the police to relay information in realtime to ensure no one is hurt. However the perpetrators often use their mobile phones to try and foil any rescue attempts. Should the police have the correct partnerships in place they are able to disable cellular towers in the vicinity, preventing any in or outgoing calls on a public network and allowing the police get their job done quickly and more effectively.”

By disabling any public networks in the area, police are also able to eliminate any cellular detonated bombs from going off but still stay in touch with each other he says.

The LXN 500 offers a wide range of mission critical cases and is sure to transform communications and improve safety for first responders and the people they are trying to protect.

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Kaspersky moves to Switzerland

As part of its Global Transparency Initiative, Kaspersky Lab is adapting its infrastructure to move a number of core processes from Russia to Switzerland.

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This includes customer data storage and processing for most regions, as well as software assembly, including threat detection updates. To ensure full transparency and integrity, Kaspersky Lab is arranging for this activity to be supervised by an independent third party, also based in Switzerland.

Global transparency and collaboration for an ultra-connected world

The Global Transparency Initiative, announced in October 2017, reflects Kaspersky Lab’s ongoing commitment to assuring the integrity and trustworthiness of its products. The new measures are the next steps in the development of the initiative, but they also reflect the company’s commitment to working with others to address the growing challenges of industry fragmentation and a breakdown of trust. Trust is essential in cybersecurity, and Kaspersky Lab understands that trust is not a given; it must be repeatedly earned through transparency and accountability.

The new measures comprise the move of data storage and processing for a number of regions, the relocation of software assembly and the opening of the first Transparency Center.

Relocation of customer data storage and processing

By the end of 2019, Kaspersky Lab will have established a data center in Zurich and in this facility, will store and process all information for users in Europe, North America, Singapore, Australia, Japan and South Korea, with more countries to follow. This information is shared voluntarily by users with the Kaspersky Security Network (KSN) an advanced, cloud-based system that automatically processes cyberthreat-related data.

Relocation of software assembly

Kaspersky Lab will relocate to Zurich its ‘software build conveyer’ — a set of programming tools used to assemble ready to use software out of source code. Before the end of 2018, Kaspersky Lab products and threat detection rule databases (AV databases) will start to be assembled and signed with a digital signature in Switzerland, before being distributed to the endpoints of customers worldwide. The relocation will ensure that all newly assembled software can be verified by an independent organisation and show that software builds and updates received by customers match the source code provided for audit.

Establishment of the first Transparency Center

The source code of Kaspersky Lab products and software updates will be available for review by responsible stakeholders in a dedicated Transparency Center that will also be hosted in Switzerland and is expected to open this year. This approach will further show that generation after generation of Kaspersky Lab products were built and used for one purpose only: protecting the company’s customers from cyberthreats.

Independent supervision and review

Kaspersky Lab is arranging for the data storage and processing, software assembly, and source code to be independently supervised by a third party qualified to conduct technical software reviews. Since transparency and trust are becoming universal requirements across the cybersecurity industry, Kaspersky Lab supports the creation of a new, non-profit organisation to take on this responsibility, not just for the company, but for other partners and members who wish to join.

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