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See the light in dark data

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Dark data, or big data that has not been sorted or used can still help companies, all it needs is to be brought to the front with analytics, sharing and the correct implementation process, writes BRYAN BALFE of Commvault.

Dark data is a relatively new term to the industry, defined by Gartner “as the information assets organisations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and

direct monetising).” Almost all organisations have volumes of dark data stored away in dusty vaults and off-site storage facilities, historically unaccounted for, unmanaged, and undervalued.  However, modern day information sharing with analytics is bringing the reign of

dark data into the spotlight – mobility trends mean that users can create and share at will through a range of devices, including smartphones, laptops and tablets.

Many organisations are discovering that they lack both the policy and technology needed to efficiently manage data outside of the corporate data centre.  Additionally, the growth of data – and big data especially – is causing enterprise to finally look to address the issue of dark data, if only to curb mounting storage costs.

Stepping into the light

Tackling dark data can be intimidating – even to the most accomplished of Chief Information Officers (CIOs). Organisations have very little awareness of the location, volume, composition, ownership, risk, and business value of their unstructured data..  Based on the complexity associated with managing dark data, Gartner recommends that

“organisations should review the scope of their unstructured data problems by using File Analysis (FA) tools to understand where dark unstructured data resides and who has access to it.”  FA differs from traditional storage reporting tools because the technology doesn’t

just report on simple file attributes, but can also provide critical contextual information; with the ability to analyse, index, search, track, report on file mega data and even content.

Reducing the risk of the unknown

FA tools applied to dark data provide business value in a number of ways, one of which is by helping organisations reduce risk. By identifying which files reside where, and who has access to them, FA tools introduce an element of control. They can also help organisations make more informed decisions around prioritising their unstructured data management needs for classification and information governance, providing insights in setting retention policies for data movement. Many FA tools also offer reporting capabilities that help define these retention policies; according to Gartner, “The value of reports in FA tools is that they can be used to determine policy and strategy in areas such as access, retention and location.”

The real cost of keeping everything

IT administrators often struggle with having little to no insight into what data is being created; limited control over how it is being stored; and almost no understanding of its business value.  When it comes to information lifecycle governance, more often than not, organisations choose to lean on cold storage tape vaults to keep every scrap of data due to a paralysing fear that they may throw away something of value. Recent studies suggest that 69 percent of a

company’s stored data has absolutely no value to the organisation.  In essence this means that organisations could be spending up to 20 percent of their annual budget on storing data that has gone stale, with virtually no Return on Investment (ROI) . When it comes to getting to grips with the mammoth task of dark data, FA tools deliver enterprises with the information required to ‘clean up’ legacy and current data, by identifying which data can moved to lower cost storage, and others which can be deleted.

Defining the value of business data

The key to satisfying the need to hoard information, as well as those who might leverage it for the business, is to first identify what data has value for which part of the organisation, and for how long, so that it can be leveraged.   Once data has been evaluated and indexed properly, organisations can better determine how and where to store that data – whether it’s locally, in the cloud, or using a combination of solutions. The classification process, enabled by FA tools, can also support a well-defined data strategy and used to enforce information governance policies. Although, as Gartner highlights, less than 1 percent of organisations manage their unstructured data today, by 2018 that figure is expected to increase up to 25 percent . Budget implications will drive the need for data management policy and data classification. Automated classification will play an increasingly integral role in the implementation of data classification policies, which will ultimately lead to a more streamlined approach and cost savings.

* Bryan Balfe, Enterprise Account Manager at Commvault

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Low-cost wireless sport earphones get a kickstart

Wireless earphone brands are common, but not crowdfunded brands. BRYAN TURNER takes the K Sport Wireless for a run.

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As wireless technology becomes better, Bluetooth earphones have become popular in the consumer market. KuaiFit aspires to make them even more accessible to more people through a cheaper, quality product, by selling the K Sport Wireless Earphones directly from its Kickstarter page

KuaiFit has an app by the same name which offers voice-guided personal training services in almost every type of exercise, from cardio to weight-lifting. A vast range of connectivity to third-party sensors is available, like heart rate sensors and GPS devices, which work well with guided coaching. 

The app starts off with selecting a fitness level: beginner, intermediate and advanced. Thereafter, one has the ability to connect with real personal trainers via a subscription to its paid service. The subscription comes free for 6 months with the earphones, and R30 per month thereafter. 

The box includes a manual, a USB to two USB Type B connectors, different sized soft plastic eartips and the two earphone units. Each earphone is wireless and connects to the other independently of wires. This puts the K Sport Wireless in the realm of the Apple Earpods in terms of connection style. 

The earphones are just over 2cm wide and 2cm high. The set is black with a light blue KuaiFit logo on the earphone’s button. 

The button functions as an on/off switch when long-pressed and a play/pause button when quick-pressed. The dual-button set-up is convenient in everyday use, allowing for playback control depending on which hand is free. Two connectivity modes are available, single earphone mode or dual earphone mode. The dual earphone mode intelligently connects the second earphone and syncs stereo audio a few seconds after powering on. 

In terms of connectivity, the earphones are Bluetooth 4.1 with a massive 10-meter range, provided there are no obstacles between the device and the earphones. While it’s not Bluetooth 5, it still falls into the Bluetooth Low Energy connection category, meaning that the smartphone’s battery won’t be drastically affected by a consistent connection to the earphones. The batteries within the earphones aren’t specifically listed but last anywhere between 3 and 6 hours, depending on the mode. 

Audio quality is surprisingly good for earphones at this price point. The headset style is restricted to in-ear due to its small design and probable usage in movement-intensive activities. As a result, one has to be very careful how one puts these earphones, in because bass has the potential of getting reduced from an incorrect in-ear placement. In-ear earphones are usually notorious for ear discomfort and suction pain after extended usage. These earphones are one of the very few in this price range that are comfortable and don’t cause discomfort. The good quality of the soft plastic ear tip is definitely a factor in the high level of comfort of the in-ear earphone experience.

Overall, the K Sport Wireless earphones are great considering the sound quality and the low price: US$30 on Kickstarter.

Find them on Kickstarter here.

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Taxify enters Google Maps

A recent update to Taxify now uses Google Maps which allows users to identify their drivers, find public transport and search for billing options.

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People planning their travel routes using Google Maps will now see a Taxify icon in the app, in addition to the familiar car, public transport, walking and billing options.

Taxify started operating in South Africa in 2016 and as of October 2018 operates in seven South African cities – Johannesburg, Ekurhuleni, Tshwane, Cape Town, Durban, Port Elizabeth and Polokwane.

Once riders have searched for their destination and asked the app for directions, Google Maps shares the proximity of cars on the Taxify platform, as well as an estimated fare for the trip.

If users see that taking the Taxify option is their best bet, they can simply tap on the ‘Open app’ icon, to complete the process of booking the ride. Customers without the app on their device will be prompted to install Taxify first.

This integration makes it possible for users to evaluate which of the private, public or e-hailing modes of transport are most time-efficient and cost-effective.

“This integration with Google Maps makes it so much easier for users to choose the best way to move around their city,” says Gareth Taylor, Taxify’s country manager for South Africa. “They’ll have quick comparisons between estimated arrival times for the different modes of transport, as well as fares they can expect to pay, which will help save both time and money,” he added.

Taxify rides in Google Maps are rolling out globally today and will be available in more than 15 countries, with South Africa being one of the first countries to benefit from this convenient service.

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