Server Application Solutions – Don’t Let Spreadsheets Hold Your Business Back

The problems and limitations of spreadsheet-based systems are well documented. That’s why we at Denizon have come up with ways to give you freedom from these UDAs (User Developed Applications). With the server application solutions we offer, your IT and financial system can be:

Totally devoid of spreadsheet risks

By getting rid of spreadsheets, you also get rid of broken links, incomplete range selections, accidental deletion of cells, incorrect copy-pasting and other spreadsheet-related slip-ups.

In their place, we offer a faster but more robust and reliable centralised system. Errors are substantially minimised by built-in controls, while inconsistencies are avoided because changes made by one user are automatically reflected on the data delivered to others.

Built-in business-critical controls

Some solutions are designed to add control features on spreadsheets. We believe that such features can only be truly effective in today?s fast-paced and dynamic business environment if they are already inherent in the design of the IT solution; not something that’s merely added as an afterthought.

For one, while these band-aid solutions may succeed in adding controls, they don’t get rid of the slow, tedious, and time-consuming processes that accompany spreadsheet systems.

Less prone to fraud

Weak controls and the absence of reliable audit trails are two factors that encourage fraudsters to prey on spreadsheet systems.

With our server-based applications solutions, your data is protected by user-based access controls that allow users to see only the information that they’re supposed to see and modify data which they have been granted sufficient access rights to.

Our solutions also produce clear audit trails for painless tracking, viewing and searching of user-entered changes. This will enable you to pinpoint who changed what, as well as where and when the changes were made.

Ready for regulatory compliance and beyond

When better controls are enforced, financial reports become more reliable. That should give your company the edge it needs to easily comply with SOX as well as other regulations and, as a consequence, build stakeholder confidence.

And because our solutions can churn out accurate reports for regulation compliance at shorter turnaround times than spreadsheet systems, you end up saving more man-hours. That should give your team more time to innovate, analyse information and deliver goods or services to your customers faster.

Designed for agility

Let’s face it. Spreadsheets, which used to serve as nifty ad-hoc business tools, are no longer suitable for agile organisations. When faced with the demands of rapidly changing markets and dynamic environments, spreadsheets can instead slow a business down.

Multi-dimensional reports, dashboards, report filters, drill-downs, collaboration and automated reporting, budgeting and forecasting capabilities are needed for gaining insights and making fast critical decisions.

Sad to say, your trusty spreadsheet application is not designed to provide these features. Hence, it’s time to move on to the type of solutions that are.

Our solutions can transform your IT and financial systems and make them better-equipped to meet the demands of today?s rapidly changing economic environment. With features designed for agile businesses, our solutions can help you tackle change with ease.

Automatic consolidation eliminates errors and wasted time caused by tedious copy-pasting of data and linking of cells.

Better collaboration capabilities allows team members to bring their heads together for planning, budgeting and reporting even while on the go.

Mobility support enables users to input data or retrieve information through their wireless mobile devices.

Superior sharing features ensures that everyone is exactly on the same page and viewing real-time information.

Dashboards provide insightful information at-a-glance through KPIs, graphs and various metrics.

Drill-downs enable users to investigate unusual figures and gain a better understanding of the details that contribute to the big picture.

Easy to learn interfaces allow your organisation to cope with fast personnel turnaround or Mergers & Acquisitions.

More Spreadsheet Blogs


Spreadsheet Risks in Banks


Top 10 Disadvantages of Spreadsheets


Disadvantages of Spreadsheets – obstacles to compliance in the Healthcare Industry


How Internal Auditors can win the War against Spreadsheet Fraud


Spreadsheet Reporting – No Room in your company in an age of Business Intelligence


Still looking for a Way to Consolidate Excel Spreadsheets?


Disadvantages of Spreadsheets


Spreadsheet woes – ill equipped for an Agile Business Environment


Spreadsheet Fraud


Spreadsheet Woes – Limited features for easy adoption of a control framework


Spreadsheet woes – Burden in SOX Compliance and other Regulations


Spreadsheet Risk Issues


Server Application Solutions – Don’t let Spreadsheets hold your Business back


Why Spreadsheets can send the pillars of Solvency II crashing down

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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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FUJIFILM Cracks the Energy Code

FUJIFILM was in trouble at its Dayton, Tennessee plant in 2008 where it produced a variety of speciality chemicals for industrial use. Compressed-air breakdowns were having knock-on effects. The company decided it was time to measure what was happening and solve the problem. It hoped to improve reliability, cut down maintenance, and eliminate relying on nitrogen for back-up (unless the materials were flammable).

The company tentatively identified three root causes. These were (a) insufficient system knowledge within maintenance, (b) weak spare part supply chain, and (c) generic imbalances including overstated demand and underutilised supply. The maintenance manager asked the U.S. Department of Energy to assist with a comprehensive audit of the compressed air system.

The team began on the demand side by attaching flow meters to each of several compressors for five days. They noticed that – while the equipment was set to deliver 120 psi actual delivery was 75% of this or less. They found that demand was cyclical depending on the production phase. Most importantly, they determined that only one compressor would be necessary once they eliminated the leaks in the system and upgraded short-term storage capacity.

The project team formulated a three-stage plan. Their first step would be to increase storage capacity to accommodate peak demand; the second would be to fix the leaks, and the third to source a larger compressor and associated gear from a sister plant the parent company was phasing out. Viewed overall, this provided four specific goals.

  • Improve reliability with greater redundancy
  • Bring down system maintenance costs
  • Cut down plant energy consumption
  • Eliminate nitrogen as a fall-back resource

They reconfigured the equipment in terms of lowest practical maintenance cost, and moved the redundant compressors to stations where they could easily couple as back-ups. Then they implemented an online leak detection and repair program. Finally, they set the replacement compressor to 98 psi, after they determined this delivered the optimum balance between productivity and operating cost.

Since 2008, FUJIFILM has saved 1.2 million kilowatt hours of energy while virtually eliminating compressor system breakdowns. The single compressor is operating at relatively low pressure with attendant benefits to other equipment. It is worth noting that the key to the door was measuring compressed air flow at various points in the system.

ecoVaro specialises in analysing data like this on any energy type.?

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The Connection between Big Data and MDM

Master Data is information that is critical to your business. This could include contracts, proprietary information, intellectual capital and a whole lot more besides. Because this often reposes in a variety of different places, you need a master data management / MDM policy to control it. That way, you can link it all together in a single, secure, backed up file.

This Sounds Like Big Data

Not necessarily: big data refers to extremely large data sets that are best stored and analysed on a cloud using big technology, in order to uncover trends, patterns and associations often relating to human behaviour. Of course, if you run a niche restaurant your critical master data might be limited to a few recipes and the books you do not care to show your accountant.

The distinction is largely a question of size: think of your master data as the subset of big data that you already have your mind around. According to John Case of IBM this is probably already in a structured format and available to share. He goes on to present a cogent case for using this as a peg point around which to systematise the rest. This is because the average organisation already has master data recording customers? and prospects? behaviour.

Do I Still Need My Master Data?

Yes you do, because real people created it with the benefit of human insight. Retain it as a separate set. Then compare it with the results of big data processing for even richer insights. Two heads are better that one and that goes for data processing too.

Trends in CRM Big Data

Adding data via location-aware devices like smartphones and tablets is adding a new dimension to customer information. We now know where they were when they made the enquiry or punched in the information. Use this geo-location data to hone the way you interact with customers and service their accounts. Do not phone a customer who makes decisions at work when they are at home.

Does My Master Data Belong on a Cloud?

There are a number of ?ifs? to consider. How comfortable are you with your service provider. What would happen if someone hacked their server? There are many advantages to cloud technology. Denizon knows of solutions you can rely on, and makes sure its clients have contingency plans to protect them at all times.

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