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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The Future is Smarter with a Smart Meter

Traditionally, electricity and water meter consumption was measured via analogue meters. Utility billing was based on actual consumption units obtained from the meter by meter readers. This entailed physical visits to the metering point. Lots of challenges came with meter reading; talk of customers feeling their privacy is intruded, meter readers encountering hostile customers, dogs, closed gates. The result was estimated bills that were most often than not very high.

Smart meters can be dubbed as the ?next generation? type of meters. Smart meters send wireless electronic meter readings to one?s energy supplier automatically. There are both gas smart meters and electricity smart meters. Smart meters come with in-home displays, which give someone real-time feedback on their energy usage and the associated cost.

Smart meters communicate meter readings directly to utility companies therefore no one has to come to your home to read your meter; and neither are you required to submit meter readings yourself. This not only reduces costs, but leads to more accurate electricity bills practically eliminating estimated bills. Smart meters signal the end of estimated bills, and the end of overpaying or underpaying for energy.

Whereas a smart meter in itself does not save you money, the add-ons (in-home displays) that come with the smart meters and which give someone real-time feedback on their energy usage helps them to reduce the unnecessary energy use and this ultimately leads to better oversight into how to lower utility bills hence better management of one?s energy use.

In summary, a smart meter is a technology that enables energy consumers to see their energy as they use it, a technology where energy is displayed as it is being used and wireless ratings sent. Adoption of smart meters would mean the end of estimated energy bills.

Smart meters are also promising a smart future where all energy consuming devices can be connected to the internet and centrally controlled using computers or smartphones. This means one is able to switch off lights and other energy consuming devices from a central point, hence make savings and this will enable them to have greater control of their energy use, hence more comfort, convenience and life will be cheaper for all. This is the smarter future we are all looking forward to.

Competencies, Roles and Responsibilities of Lead Assessors

Any organisation that opts for energy audits, Display of Energy Certificates and Green Deal Assessments needs a lead assessor to review the chosen ESOS compliance routes. The Derivative provides that energy audits should be carried out independently by qualified and accredited experts. Additionally, these audits should be implemented as well as supervised by independent authorities under the national legislation.

Lead assessors undertake several roles in ESOS assessments. He or she is the one responsible to take the lead of the entire assessment team, prepare the plan, conduct the meetings and submit the formal report to governing authorities. Nevertheless, selecting an appropriate lead assessor is an important element that every organisation should carefully consider.

Competencies Requirements of Lead Assessors

Lead assessors should be knowledgeable enough with in-depth expertise in carrying out energy efficiency assessment. They should also possess foundational, functional and technical competencies to deliver the task effectively. Likewise, consider the assessors? sector experiences, familiarity with your business? technologies and properties, and accreditation with prescribed standards.

As you choose your lead assessor, contemplate on the skills and qualifications that would give your organisation benefits.

Roles and Responsibilities of Lead Assessors

The business organisation is responsible for the overall legal ESOS compliance. Moreover, here are some of the roles and responsibilities that lead assessors should assume in ESOS assessments.

The lead assessor agrees on the audit methodologies that the organisation would undergo in new audits. He or she agrees with the ESOS participant regarding the audit timetable, sampling approach and visits required. It is also the lead assessor?s role to identify the opportunities on energy saving and assist in calculating the cost savings from the measures taken. During the ESOS audits, the lead assessor determines the energy use profiles, presents the recommendations and reviews the entire assessment as a whole. Furthermore, he or she should maintain the evidence pack of the ESOS to uphold the audit’s credibility, its findings and recommendations.

Finding Lead Assessors

Energy and environment professionals would only be able to demonstrate their expertise as lead assessors upon registering in a professional body accredited by the Environment Agency. Any business that needs a lead assessor is advised to check on the EA?s website to see the details of approved registers.

Lead assessors can either be in-house experts or external professionals. However, they should be able to provide proof of membership as an approved register to take the role of a lead assessor. If the organisation has an internal lead assessor, the company should then take the final ESOS assessment to two board-level directors that would sign the formal report.

Indeed, the lead assessor is an organisation’s partner when it comes to delivering great results. With good professional conduct and excellent management of an assessment team, the lead assessor can help achieve breakthrough energy efficiency strategies. More than anything else, the organisation will benefit from maximum energy savings opportunities ahead. Thus, every qualified business enterprise should invest in finding the best lead assessor to guide them towards success.

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Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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