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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8 Reasons why you Need to Undertake Technical and Application Assessments

Are your information assets enabling you to operate more cost-effectively or are they just drawing in more risks than you are actually aware of? Obviously, you now need to get a better picture of those assets to see if your IT investments are giving you the benefits you were expecting and to help you identify areas where improvements should be made.

The best way to get the answers to those questions is through technical and application assessments. In this post, we?ll identify 8 good reasons why it is now imperative to undertake such assessments.

1. Address known issues – Perhaps the most common reason that drives companies to undertake a technology/application assessment is to identify the causes of existing issues such as those related to data accessibility, hardware and software scalability, and performance.

2. Cut down liabilities and risks – Unless you know what and where the risks are, there is no way you can implement an appropriate risk mitigation strategy. A technology and application assessment will enable you to thoroughly test and examine your information systems to see where your business-critical areas and points of failure are and subsequently allow you to act on them.

3. Discover emerging risks – Some risks may not yet be as threatening as others. But it would certainly be reassuring to be aware if any exist. That way, you can either nip them in the bud or keep them monitored.

4. Comply with regulations – Regulations like SOX require you to establish adequate internal controls to achieve compliance. Other regulations call for the protection of personally identifiable information. Assessments will help you pinpoint processes that lack controls, identify data that need protection, and areas that don’t meet regulatory requirements. This will enable you to act accordingly and keep your company away from tedious, time-consuming and costly sanctions.

5. Enhance performance – Poor performance is not always caused by an ageing hardware or an overloaded infrastructure. Sometimes, the culprits are: unsuitable configuration settings, inappropriate security policies, or misplaced business logic. A well-executed assessment can provide enough information that would lead to a more cost-effective action plan and help you avoid an expensive but useless purchase.

6. Improve interoperability – Disparate technologies working completely separate from each other may be preventing you from realising the maximum potential of your entire IT ecosystem. If you can examine your IT systems, you may be able to discover ways to make them interoperate and in turn harness untapped capabilities of already existing assets.

7. Ensure alignment of IT with business goals – An important factor in achieving IT governance is the proper alignment of IT with business goals. IT processes need to be assessed regularly to ensure that this alignment continues to exist. If it does not, then necessary adjustments can be made.

8. Provide assurance to customers and investors – Escalating cases of data breaches and identity theft are making customers and investors more conscious with a company?s capability of preserving the confidentiality of sensitive information. By conducting regular assessments, you can show your customers and investors concrete steps for keeping sensitive information confidential.

Month End Accounting the way it should Be Today

Month end accounting has always been a business critical exercise. Without the balance sheet, income statement, and other financial reports this exercise ultimately produces, management could not make informed decisions to keep the company in the right direction and at the ideal operational speed.

Now, in order to maintain optimal business velocity, month end activities have to be carried out as swiftly and as accurately as possible. Delays will only inhibit managers from reacting and effecting necessary adjustments in time. Inaccurate information, on the other hand, obviously lead to bad decisions.

But that’s not all. Never has the month end close been as demanding as it is today. Regulations like the Sarbanes-Oxley Act, Solvency II, Dodd-Frank Act, and others, which call for more stringent controls and more robust risk management practices, are now forcing companies to find better ways to face the end of the month.

Sticking to old month-end practices while striving to achieve regulation compliance can either cost a company more (if they add manpower) or simply bog it down (if they don’t). Among the worst of these practices is the use of spreadsheets.

These User Developed Applications (UDAs) are very susceptible to errors. (See spreadsheet risks)

What’s more, consolidating data from spreadsheets as well as carrying out reconciliations on them is very time consuming. These activities usually require data from outside sources – i.e. a workstation in a different department, building, or (in the case of really large corporations) geographical locations.

Furthermore, if one of these sources fail, the financial reports won’t be complete. This is not a far-fetched scenario, considering that spreadsheet storage and backup is typically carried out by the average end user. This leaves the spreadsheet data vulnerable to hard disk crashes, virus attacks, and unexpected disasters.

Thus, in order to produce accurate financial reports on time all the time, you need a financial/IT solution that offers optimal provisions for risk management, collaboration, backup, and business continuity. Learn about server-based solutions and discover a better way to carry out month end accounting.

Using Pull Systems to Optimise Work Flows in Call Centres

When call centres emerged towards the end of the 20th century, they deserved their name ?the sweatshops of the nineties?. A new brand of low-paid workers crammed into tiny cubicles to interact with consumers who were still trying to understand the system. Supervisors followed ?scientific management? principles aimed at maximising call-agent activity. When there was sudden surge in incoming calls, systems and customer care fell over.

The flow is nowadays in the opposite direction. Systems borrowed from manufacturing like Kanban, Pull, and Levelling are in place enabling a more customer-oriented approach. In this short article, our focus is on Pull Systems. We discuss what are they, and how they can make modern call centres even better for both sets of stakeholders.

Pull Systems from a Manufacturing Perspective

Manufacturing has traditionally been push-based. Sums are done, demand predicted, raw materials ordered and the machines turned on. Manufacturers send out representatives to obtain orders and push out stock. If the sums turn out wrong inventories rise, and stock holding costs increase. The consumer is on the receiving end again and the accountant is irritable all day long.

Just-in-time thinking has evolved a pull-based approach to manufacturing. This limits inventories to anticipated demand in the time it takes to manufacture more, plus a cushion as a trigger. When the cushion is gone, demand-pull spurs the factory into action. This approach brings us closer to only making what we can sell. The consumer benefits from a lower price and the accountant smiles again.

Are Pull Systems Possible in Dual Call Centres

There are many comments in the public domain regarding the practicality of using lean pull systems to regulate call centre workflow. Critics point to the practical impossibility of limiting the number of incoming callers. They believe a call centre must answer all inbound calls within a target period, or lose its clients to the competition.

In this world-view customers are often the losers. At peak times, operators can seem keen to shrug them off with canned answers. When things are quiet, they languidly explain things to keep their occupancy levels high. But this is not the end of the discussion, because modern call centres do more than just take inbound calls.

Using the Pull System Approach in Dual Call Centres

Most call centre support-desks originally focused are handling technical queries on behalf of a number of clients. When these clients? customers called in, their staff used operator?s guides to help them answer specific queries. Financial models?determined staffing levels and the number of ?man-hours? available daily. Using a manufacturing analogy, they used a push-approach to decide the amount of effort they were going to put out, and that is where they planted their standard.

Since these early 1990 days, advanced telephony on the internet has empowered call centres to provide additional remote services in any country with these networks. They have added sales and marketing to their business models, and increased their revenue through commissions. They have control over activity levels in this part of their business. They have the power to decide how many calls they are going to make, and within reason when they are going to make them.

This dichotomy of being passive regarding incoming traffic on the one hand, and having active control over outgoing calls on the other, opens up the possibility of a partly pull-based lean approach to call centre operation. In this model, a switching mechanism moves dual trained operators between call centre duties and marketing activities, as required by the volume of call centre traffic, thus making a pull system viable in dual call centres.

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