Are Master Data Management and Hadoop a Good Match?

Master Data is the critical electronic information about the company we cannot afford to lose. Accordingly, we should sanitise it, look after it, and store it safely in several separate places that are independent of each other. The advent of Big Data introduced the current era of huge repositories ?in the clouds?. They are not, of course but at least they are remote. This short article includes a discussion about Hadoop, and whether this is a good platform to back up your Master Data.

About Hadoop

Hadoop is an open-source Apache software framework built on the assumption that hardware failure is so common that backups are unavoidable. It comprises a storage area and a management part that distributes the data to smaller nodes where it processes faster and more efficiently. Prominent users include Yahoo! and Facebook. In fact more than half Fortune 50 companies were using Hadoop in 2013.

Hadoop – initially launched in December 2011 ? has survived its baptism of fire and became a respected, reliable option. But is this something the average business owner can tackle on their own? Bear in mind that open source software generally comes with little implementation support from the vendor.

The Hadoop Strong Suite

Free to download, use and contribute to

Everything you need ?in the box? to get started

Distributed across multiple fire-walled computers

Fast processing of data held in efficient cluster nodes

Massive scaleable storage you are unlikely to run out of

Practical Constraints

There is more to Hadoop than writing to WordPress. The most straightforward solutions are uploading using Java commands, obtaining an interface mechanism, or using third party vendor connectors such as ACCESS or SAS. The system does not replace the need for IT support, although it is cheap and exceptionally powerful.

The Not-Free Safer Option

Smaller companies without in-depth in-house support are wise to engage with a technical intermediary. There are companies providing commercial implementations followed by support. Microsoft, Amazon and Google among others all have commercial versions in their catalogues, and support teams at the end of the line.

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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

Failure Mode and Effects Analysis

Any business in the manufacturing industry would know that anything can happen in the development stages of the product. And while you can certainly learn from each of these failures and improve the process the next time around, doing so would entail a lot of time and money.
A widely-used procedure in operations management utilised to identify and analyse potential reliability problems while still in the early stages of production is the Failure Mode and Effects Analysis (FMEA).

FMEAs help us focus on and understand the impact of possible process or product risks.

The FMEA method for quality is based largely on the traditional practice of achieving product reliability through comprehensive testing and using techniques such as probabilistic reliability modelling. To give us a better understanding of the process, let’s break it down to its two basic components ? the failure mode and the effects analysis.

Failure mode is defined as the means by which something may fail. It essentially answers the question “What could go wrong?” Failure modes are the potential flaws in a process or product that could have an impact on the end user – the customer.

Effects analysis, on the other hand, is the process by which the consequences of these failures are studied.

With the two aspects taken together, the FMEA can help:

Discover the possible risks that can come with a product or process;
Plan out courses of action to counter these risks, particularly, those with the highest potential impact; and
Monitor the action plan results, with emphasis on how risk was reduced.

Find out more about our Quality Assurance services in the following pages:

Energy Cooperation Mechanisms in the EU

While the original mission of the European Union was to bring countries together to prevent future wars, this has spun out into a variety of other cooperative mechanisms its founders may never have dreamed of. Take energy for example, where the European Energy Directive puts energy cooperation mechanisms in place to help member states achieve the collective goal.

This inter-connectivity is essential because countries have different opportunities. For example, some may easily meet their renewable targets with an abundance of suitable rivers, while others may have a more regular supply of sunshine. To capitalise on these opportunities the EU created an internal energy market to make it easier for countries to work together and achieve their goals in cost-effective ways. The three major mechanisms are

Joint Projects
Statistical Transfers
Joint Support Schemes

Joint Projects

The simplest form is where two member states co-fund a power generation, heating or cooling scheme and share the benefits. This could be anything from a hydro project on their common border to co-developing bio-fuel technology. They do not necessarily share the benefits, but they do share the renewable energy credits that flow from it.

An EU country may also enter into a joint project with a non-EU nation, and claim a portion of the credit, provided the project generates electricity and this physically flows into the union.

Statistical Transfers

A statistical transfer occurs when one member state has an abundance of renewable energy opportunities such that it can readily meet its targets, and has surplus credits it wishes to exchange for cash. It ?sells? these through the EU accounting system to a country willing to pay for the assistance.

This aspect of the cooperative mechanism provides an incentive for member states to exceed their targets. It also controls costs, because the receiver has the opportunity to avoid more expensive capital outlays.

Joint Support Schemes

In the case of joint support schemes, two or more member countries combine efforts to encourage renewable energy / heating / cooling systems in their respective territories. This concept is not yet fully explored. It might for example include common feed-in tariffs / premiums or common certificate trading and quota systems.

Conclusion

A common thread runs through these three cooperative mechanisms and there are close interlinks. The question in ecoVaro?s mind is the extent to which the system will evolve from statistical support systems, towards full open engagement.