Directions Hadoop is Moving In

Hadoop is a data system so big it is like a virtual jumbo where your PC is a flea. One of the developers named it after his kid?s toy elephant so there is no complicated acronym to stumble over. The system is actually conceptually simple. It has loads of storage capacity and an unusual way of processing data. It does not wait for big files to report in to its software. Instead, it takes the processing system to the data.

The next question is what to do with Hadoop. Perhaps the question would be better expressed as, what can we do with a wonderful opportunity that we could not do before. Certainly, Hadoop is not for storing videos when your laptop starts complaining. The interfaces are clumsy and Hadoop belongs in the realm of large organisations that have the money. Here are two examples to illustrate the point.

Hadoop in Healthcare

In the U.S., healthcare generates more than 150 gigabytes of data annually. Within this data there are important clues that online training provider DeZyre believes could lead to these solutions:

  • Personalised cancer treatments that relate to how individual genomes cause the disease to mutate uniquely
  • Intelligent online analysis of life signs (blood pressure, heart beat, breathing) in remote children?s hospitals treating multiple victims of catastrophes
  • Mining of patient information from health records, financial status and payroll data to understand how these variables impact on patient health
  • Understanding trends in healthcare claims to empower hospitals and health insurers to increase their competitive advantages.
  • New ways to prevent health insurance fraud by correlating it with claims histories, attorney costs and call centre notes.

Hadoop in Retail

The retail industry also generates a vast amount of data, due to consumer volumes and multiple touch points in the delivery funnel. Skillspeed business trainers report the following emerging trends:

  • Tracing individual consumers along the marketing trail to determine individual patterns for different demographics and understand consumers better.
  • Obtaining access to aggregated consumer feedback regarding advertising campaigns, product launches, competitor tactics and so on.
  • Staying with individual consumers as they move through retail outlets and personalising their experience by delivering contextual messages.
  • Understanding the routes that virtual shoppers follow, and adding handy popups with useful hints and tips to encourage them on.
  • Detecting trends in consumer preferences in order to forecast next season sales and stock up or down accordingly.

Where to From Here?

Big data mining is akin to deep space research in that we are exploring fresh frontiers and discovering new worlds of information. The future is as broad as our imagination.?

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What Kanban can do for Call Centre Response Times

When a Toyota industrial engineer named Taiichi Ohno was investigating ways to optimise production material stocks in 1953, it struck him that supermarkets already had the key. Their customers purchased food and groceries on a just-in-time basis, because they trusted continuity of supply. This enabled stores to predict demand, and ensure their suppliers kept the shelves full.

The Kanban system that Taiichi Ohno implemented included a labelling system. His Kanban tickets recorded details of the factory order, the delivery destination, and the process intended for the materials. Since then, Ohno?s system has helped in many other applications, especially where customer demand may be unpredictable.

Optimising Workflow in Call Centres
Optimising workflow in call centres involves aiming to have an agent pick up an incoming call within a few rings and deal with it effectively. Were this to be the case we would truly have a just-in-time business, in which operators arrived and left their stations according to customer demand. For this to be possible, we would need to standardise performance across the call centre team. Moving optimistically in that direction we would should do these three things:

  • Make our call centre operation nimble
  • Reduce the average time to handle calls
  • Decide an average time to answer callers

When we have done that, we are in a position to apply these norms to fluctuating call frequencies, and introduce ?kanbanned? call centre operators.

Making Call Centre Operations Nimble
The best place to start is to ask the operators and support staff what they think. Back in the 1960?s Robert Townsend of Avis Cars famously said, ?ask the people ? they know where the wheels are squeaking? and that is as true as ever.

  1. Begin by asking technical support about downtime frequencies, duration, and causes. Given the cost of labour and frustrated callers, we should have the fastest and most reliable telecoms and computer equipment we can find.
  1. Then invest in training and retraining operators, and making sure the pop-up screens are valuable, valid, and useful. They cannot do their job without this information, and it must be at least as tech-savvy as their average callers are.
  1. Finally, spruce up the call centre with more than a lick of paint to awaken a sense of enthusiasm and pride. Find time for occasional team builds and fun during breaks. Tele-operators have a difficult job. Make theirs fun!

Reducing Average Time to Handle Calls
Average length of contact is probably our most important metric. We should beware of shortening this at the cost of quality of interaction. To calculate it, use this formula:

Total Work Time + Total Hold Time + Total Post Call Time

Divided By

Total Calls Handled in that Period

Share recordings of great calls that highlight how your best operators work. Encourage role-play during training sessions so people learn by doing. Publish your average call-handling time statistics. Encourage individual operators to track how they are doing against these numbers. Make sure your customer information is up to date. While they must confirm core data, limit this so your operators can get down to their job sooner.

Decide a Target Time to Answer Calls
You should know what is possible in a matter of a few weeks. Do not attempt to go too tight on this one. It is better to build in say 10% slack that you can always trim in future. Once you have decided this, you can implement your Kanban system.

Introducing Kanban in Your Call Centre Operation
Monitor your rate of incoming calls through your contact centre, and adjust your operator-demand metric on an ongoing basis. Use this to calculate your over / under demand factor. Every operator should know the value on this Kanban ticket. It will tell them whether to speed up a little, or slow down a bit so they deliver the effort the call rate demands. It will also advise the supervisor when to call up reserves.

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Saving Energy Step 5 – Bringing it together

We hope you have been enjoying our series of short posts regarding saving energy, so what we use we can sustain. We have tried to make a dry subject interesting. After you read this post please comment, and tell us how it went. We are in the environment together. As the man who wrote ?No Man is an Island? said, ?if a clod be washed away somewhere by the sea, Europe is the less? and Europe was his entire world.

The 4 Steps we wrote about previously have a multiplier effect when we harness them together

  1. Having a management system diffuses office politics and pins accountability in a way that not even a worm could wriggle
  2. This defines the boundaries for senior managers and empowers them to implement practical improvements with confidence
  3. The results feed back into lower energy bills: this convinces the organisation that more is possible
  4. This dream filters through all levels of the organisation, as a natural team forms to make work and home a better place.

None of this would be possible without measuring energy consumption throughout the process, converting this into meaningful analytics, and playing ?what-if? scenarios against each other to determine where to start.

The 5th Step to Energy Saving that brings the other four together can double the individual benefits as innovative power flows between them. The monetary savings are impressive and provide capital to go even further. Why not allow us to help you manage what we measure together.

ecoVaro turns your numbers into meaningful analytics, makes suggestions, and stays with you so we can quantify your savings as you make them. We should talk about this soon.

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How Accenture Keeps Rolling Out Sustainability

Multinational management-consulting and technology-services company Accenture has a good eye for sniffing out new business, with 305,000 employees advancing its interests in more than 200 cities in 56 countries evidence. Last year, it netted US$30 billion profit that is a tidy sum of money in anybody?s books.

Accenture also practices what it preaches. This is maximum business efficiency within moral standards. It tracks its carbon emissions from its offices around the world. Being a technology services company it is unsurprising that it automated the process. Being management consultants it can drill down to finest detail in its search for continuous improvement.

As a forward-thinking company Accenture is committed to transplanting its business skills into other organizations, in order to drive higher performance and sustain greater profits in the long term. It works with clients across borders and industries to integrate sustainability into their business models, and find effective ways to lighten carbon footprints.

The City of Seattle in Washington is a case in point. Following a proud history of nature and energy conservation, it engaged Accenture in 2013 to help it reduce downtown power consumption by 25%. Other project members were Microsoft supplying software, the local power utility for technical advice, and a non-profit to set up a smart building program. The initiative uses cloud services to process the big data generated by a host of building management services, plus a multitude of sensors, controls and meters.

The project is vital for the City. It wants to continue expanding but needs to avoid another power plant polluting its skyline. At the time of writing, the pilot sites had proved successful and the program was rolling out. Seattle?s next challenge is to acquire 15% of its energy from renewable sources by 2020.

The smart building solutions Seattle trialled in five downtown buildings, had a further welcome spinoff; by reducing operating times, facility managers can look forward to extended equipment life and fewer maintenance downtimes. The green building philosophy is alive and well in the City of Seattle, driven both by necessity and vision.

It is a no longer as question of if – but when – other urban communities follow suit. EcoVaro believes it is time long due for individual companies to start enjoying lower energy costs plus the prospect of profitably trading carbon credits. The process begins with measuring what you have and identifying cost-effective savings.

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