Connect with us

Featured

See the light in dark data

Published

on

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

Featured

IoT at starting gate

South Africa is already past the Internet of Things (IoT) hype cycle and well into the mainstream, writes MARK WALKER, associate vice president of Sub-Saharan Africa at International Data Corporation (IDC).

Published

on

Projects and pilots are already becoming a commercial reality, tying neatly into the 2017 IDC prediction that 2018 would be the year when the local market took IoT mainstream. Over the next 12-18 months, it is anticipated that IoT implementations will continue to rise in both scope and popularity. Already 23% are in full deployment with 39% in the pilot phase. The value of IoT has been systematically proven and yet its reputation remains tenuous – more than 5% of companies are reluctant to put their money where the trend is – thanks to the shifting sands of IoT perception and success rate.

There are several reasons behind why IoT implementations are failing. The biggest is that organisations don’t know where to start. They know that IoT is something they can harness today and that it can be used to shift outdated modalities and operations. They are aware of the benefits and the case studies. What they don’t know is how to apply this knowledge to their own journey so their IoT story isn’t one of overbearing complexity and rising costs.

Another stumbling block is perception. Yes, there is the futuristic potential with the talking fridge and intelligent desk, but this is not where the real value lies. Organisations are overlooking the challenges that can be solved by realistic IoT, the banal and the boring solutions that leverage systems to deliver on business priorities. IoT’s potential sits within its ability to get the best out of assets and production efficiencies, solving problems in automation, security, and environment.

In addition to this, there is a lack of clarity around return on investment, uncertainty around the benefits, a lack of executive leadership, and concerns around security and the complexities of regulation.  Because IoT is an emerging technology there remains a limited awareness of the true extent of its value proposition and yet 66% of organisations are confident that this value exists.

This percentage poses both a problem and opportunity. On one hand, it showcases the local shift in thinking towards IoT as a technology worth investing into. On the other hand, many companies are seeing the competition invest and leaping blindly in the wrong direction. Stop. IoT is not the same for every business.

It is essential that every company makes its own case for IoT based on its needs and outcomes. Does agriculture have the same challenges as mining? Does one mining company have the same challenges as another? The answer is no. Organisations that want their IoT investment to succeed must reject the idea that they can pick up where another has left off. IoT must be relevant to the business outcome that it needs to achieve. While some use cases may apply to most industries based on specific circumstances, there are different realities and priorities that will demand a different approach and starting point.

Ask – what is the business problem right now and how can technology be leveraged to resolve it?

In the agriculture space, there is a need to improve crop yields and livestock management, improve farm productivity and implement environmental monitoring. In the construction and mining industry, safety and emergency response are a priority alongside workforce and production management. Education shifts the lens towards improving delivery and quality of education, access to advanced learning methods and reducing the costs of learning.  Smart cities want to improve traffic and efficiently deliver public services and healthcare is focusing on wellness, reducing hospital admissions and the security of assets and inventory management.

The technology and solutions selected must speak to these specific challenges.

If there are no insights used to create an IoT solution, it’s the equivalent of having the fastest Ferrari on Rivonia Road in peak traffic. It makes a fantastic noise, but it isn’t going to move any faster than the broken-down sedan in the next lane. Everyone will be impressed with the Ferrari, but the amount of power and the size of the investment mean nothing. It’s in the wrong place.

What differentiates the IoT successes is how a company leverages data to deliver meaningful value-added predictions and actions for personalised efficiencies, convenience, and improved industry processes. To move forward the organisation needs to focus on the business outcomes and not just the technology. They need to localise and adapt by applying context to the problem that’s being solved and explore innovation through partnerships and experimentation.

Continue Reading

Featured

ERP underpins food tracking

The food traceability market is expected to reach almost $20 billion by 2022 as increased consumer awareness, strict governance requirements, and advances in technology are resulting in growing standardisation of the segment, says STUART SCANLON, managing director of epic ERP

Published

on

Just like any data-driven environment, one of the biggest enablers of this is integrated enterprise resource planning (ERP) solutions.

As the name suggests, traceability is the ability to track something through all stages of production, processing, and distribution. When it comes to the food industry, traceability must also enable stakeholders to identify the source of all food inputs that can include anything from raw materials, additives, ingredients, and packaging.

Considering the wealth of data that all these facets generate, it is hardly surprising that systems and processes need to be put in place to manage, analyse, and provide actionable insights. With traceability enabling corrective measures to be taken (think product recalls), having an efficient system is often the difference between life or death when it comes to public health risks.

Expansive solutions

Sceptics argue that traceability simply requires an extensive data warehouse to be done correctly, the reality is quite different. Yes, there are standard data records to be managed, but the real value lies in how all these components are tied together.

ERP provides the digital glue to enable this. With each stakeholder audience requiring different aspects of traceability (and compliance), it is essential for the producer, distributor, and every other organisation in the supply chain, to manage this effectively in a standardised manner.

With so many different companies involved in the food cycle, many using their own, proprietary systems, just consider the complexity of trying to manage traceability. Organisations must not only contend with local challenges, but global ones as well as the import and export of food are big business drivers.

So, even though traceability is vital to keep track of everything in this complex cycle, it is also imperative to monitor the ingredients and factories where items are produced. Having expansive solutions that must track the entire process from ‘cradle to grave’ is an imperative. Not only is this vital from a safety perspective, but from cost and reputational management aspects as well. Just think of the recent listeriosis issue in South Africa and the impact it has had on all parties in that supply chain.

Efficiency improvements

Thanks to the increasing digital transformation efforts by companies in the food industry, traceability becomes a more effective process. It is no longer a case of using on-premise solutions that can be compromised but having hosted ones that provide more effective fail-safes.

In a market segment that requires strict compliance and regulatory requirements to be met, cloud-based solutions can provide everyone in the supply chain with a more secure (and tamper-resistant) solution than many of the legacy approaches of old.

This is not to say ERP requires the one or the other. Instead, there needs to be a transition provided between the two scenarios that empowers those in the food supply chain to maximise the insights (and benefits) derived from traceability.

Now, more than ever, traceability is a business priority. Having the correct foundation through effective ERP is essential if a business can manage its growth and meet legislative requirements into the future.

Continue Reading

Trending

Copyright © 2018 World Wide Worx