Excel Spreadsheet Conversion to SQL Reports

Spreadsheets are flexible, inexpensive and easy to use. They are especially handy when it comes to beating report submission deadlines or making impromptu data computations.

Unfortunately, organisations heavy reliance on spreadsheets have made these User Developed Applications (UDA) into high-risk office tools. Simple spreadsheet errors like leaving out a negative sign or a cut-and-paste mistake have already caused million-dollar discrepancies. Also, when a fraudulent employee enters into the picture, the risks become unimaginable.
Think TransAlta’s spreadsheet cut-and-paste glitch (the company later called this a ‘simple clerical error’) which caused the energy firm a whopping $24 million loss or Fidelity’s overstatement of its earnings owing to the omission of the minus sign on the spreadsheet of a $1.3 billion net capital loss.

Denizon can convert your Excel Spreadsheets to a web based SQL Server Reporting Services (SSRS). It does not import Excel data, rather it allows the creation and deployment of reports in a more efficient manner by querying the data.

So what is the problem with Spreadsheets?

Plagued with risk issues and vulnerable to fraud
Lacking in control features especially when copied, edited and emailed between many users
A burden to regulation compliance e.g. SOX (Sarbanes-Oxley)

Moreover:

Accidental copy-paste/Omission of a negative sign/Erroneous range selection
Incorrect data input or unintentional deletion of a character, cell, range, column, or row
Possibility of the user working on the wrong version
Prone to inconsistent company-wide reporting
Often ‘defenceless’ against unauthorised access

See Top 10 Disadvantages of Spreadsheets

What makes SQL Server Reporting Services better than Spreadsheets?

Free from spreadsheet risks & equipped with built-in controls that substantially reduce risks to data
Less prone to fraud
More suitable for regulatory compliance e.g. SOX
Designed for an agile business environment

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 device

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

Don’t know how to shift from Spreadsheets to SQL Server Reporting Services?

We’ve got the knowledge and expertise to assist you in:

Making a smooth and cost-efficient transition from risky spreadsheets to reliable reports
Designing and implementing SOX-compliant report-generating methods and procedures
Putting exposure to high-risk reporting methods a thing of the past

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Implementing Matrix Management

Matrix management is a culture change. More than the hierarchical structures, lines of responsibilities, modes of communication and channels of decision-making, it is a concept that needs to be planned ahead and managed appropriately over time.

Implementing matrix management to any organization can be confusing. It is essential to ensure that it fits right to your business strategies, skills and competencies. With this, realizing matrix management should not be taken lightly. Careful stages should be considered, instead.

Here are the steps to proper implementation of matrix management:

Consider Your Business Context

You need to evaluate your organisation to analyse what are your development needs with regards to skills, products, services and market environment. This will help you decide on what type of matrix structure you will apply in your organisation. Consider the following questions in building up your context:

What is our strategy?
Where are the demands in our business?
What are the structures that our competitors currently employ?
What are the talents that my people possess?
What are other business organizations doing?

Set Your Implementation Scope

Next, you need to define the parameter and set the scope of your implementation. What area in your business do you think matrix management will successfully work? There are several things that you need to consider in setting your scope. You have to make sure that it works well with your overall business strategies, that it can be excellently communicated and easily understood. Also, you must ensure that you acquire the necessary talents and skills in the business to deliver the new system of responsibilities.

Implement the New Structure

When you have already decided what structure type you will implement, you are ready to give it a go. You will need to establish new communication channels so you can monitor the progress and receive feedback effectively.

Here?s how to apply the matrix structure:

Highlight your development needs
Define roles based on outputs and not inputs
Line up procedures and systems to support the structure and the behaviour that comes with it.
Invest in training and development
Support the key people in the structure by coaching them to better adapt in changes
Communicate regularly
Monitor progress and make necessary adjustments

Review the Matrix Structure, Roles and Responsibilities

Organisations that successfully implement matrix management adapt to the changes in their environment. With this, they do regular evaluations to highlight the need for changes and revisions. The review can either focus on the structure only or to the entire process as a whole. The results can alter the structure, the roles involved and the responsibilities taken.

The process of implementing matrix management follows a step-by step method. Each stage is equally important with the rest. Hence, if you plan to exploit it in your organisation, you have to recognise the purpose of each step and follow it appropriately. Balance is the key. And when you achieve stability in matrix management, amidst the complex changes in the world of business, then your organisational success is just around the corner.

What Heijunka is & How it Smooths Call Centre Production

The Japanese word Heijunka, pronounced hi-JUNE-kuh means ?levelling? in the sense of balancing workflows. It helps lean organizations shift priorities in the face of fluctuating customer demand. The goal is to have the entire operation working at the same pace throughout, by continuously adjusting the balance between predictability, flexibility, and stability to level out demand.

Henry Ford turned the American motor manufacturing industry upside down by mass-producing his iconic black motor cars on two separate production lines. In this photograph, body shells manufactured upstairs come down a ramp and drop onto a procession of cars almost ready to roll in 1913.

Smoothing Production in the Call Centre Industry

Call Centres work best in small teams, each with a supervisor to take over complex conversations. In the past, these tended to operate in silos with each group in semi-isolation representing a different set of clients. Calls came through to operators the instant the previous ones concluded. By the law of averages, inevitably one had more workload than the rest at a particular point in time as per this example.

Modern telecoms technology makes it possible to switch incoming lines to different call centre teams, provided these are multi-skilled. A central operator controls this manually by observing imbalanced workflows on a visual system called a Heijunka Box. The following example comes from a different industry, and highlights how eight teams share uneven demand for six products.

This departure from building handmade automobiles allowed Henry to move his workforce around to eliminate bottlenecks. For example, if rolls of seat leather arrived late he could send extra hands upstairs to speed up the work there, while simultaneously slowing chassis production. Ford had the further advantage of a virtual monopoly in the affordable car market. He made his cars at the rate that suited him best, with waiting lists extending for months.

A Modern, More Flexible Approach

Forces of open competition and the Six Sigma drive for as-close-to-zero defects dictates a more flexible approach, as embodied in this image published by the Six Sigma organisation. This represents an ideal state. In reality, one force usually has greater influence, for example decreasing stability enforces a more flexible approach.

Years ago, Japanese car manufacturer Toyota moved away from batching in favour of a more customer-centric approach, whereby buyers could customise orders from options held in stock for different variations of the same basic model. The most effective approach lies somewhere between Henry Ford?s inflexibility and Toyota?s openness, subject to the circumstances at the moment.

A Worked Factory Example

The following diagram suggests a practical Heijunka application in a factory producing three colours of identical hats. There are two machines for each option, one or both of which may be running. In the event of a large order for say blue hats, the company has the option of shifting some blue raw material to the red and green lines so to have the entire operation working at a similar rate.

Predictability, Flexibility, and Stability at Call Centre Service

The rate of incoming calls is a moving average characterised by spikes in demand. Since the caller has no knowledge whether high activity advisories are genuine, it is important to service them as quickly as possible. Lean process engineering provides technology to facilitate flexibility. Depending on individual circumstances, each call centre may have its own definition of what constitutes an acceptably stable situation.

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Uncover hidden opportunities with energy data analytics

What springs to mind when you hear the words energy data analytics? To me, I feel like energy data analytics is not my thing. Energy data analytics, however, is of great importance to any organisation or business that wants to run more efficiently, reduce costs, and increase productivity. Energy efficiency is one of the best ways to accomplish these goals.

Energy efficiency is not about investment in expensive equipment and internal reorganization. Enormous energy saving opportunities is hidden in already existing energy data. Given that nowadays, energy data can be recorded from almost any device, a lot of data is captured regularly and therefore a lot of data is readily available.

Organisations can use this data to convert their buildings’ operations from being a cost centre to a revenue centre through reduction of energy-related spending which has a significant impact on the profitability of many businesses. All this is possible through analysis and interpretation of data to predict future events with greater accuracy. Energy data analytics therefore is about using very detailed data for further analysis, and is as a consequence, a crucial aspect of any data-driven energy management plan.

The application of Data and IT could drive significant cost savings in company-owned buildings and vehicle fleets. Virtual energy audits can be performed by combining energy meter data with other basic data about a building e.g. location, to analyse and identify potential energy savings opportunities. Investment in energy dashboards can further enable companies to have an ongoing look at where energy is being consumed in their buildings, and thus predict ways to reduce usage, not to mention that energy data analytics unlock savings opportunities and help companies to understand their everyday practices and operating requirements in a much more comprehensive manner.

Using energy data analytics can enable an organisation to: determine discrepancies between baseline and actual energy data; benchmark and compare previous performance with actual energy usage. Energy data analytics also help businesses and organisations determine whether or not their Building Management System (BMS) is operating efficiently and hitting the targeted energy usage goals. They can then use this data to investigate areas for improvement or energy efficient upgrades. When energy data analytics are closely monitored, companies tend to operate more efficiently and with better control over relevant BMS data.