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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How CRM-eCommerce Integration can help you Win a Price War

There are a number of reasons why more people are buying stuff online. One of the biggest is price. You can afford to sell your goods at cheaper prices on the Internet because you’re free of the usual operating expenses like rent, electricity, and staff salaries. That should translate to some nice savings, right?

No savings in a price war

Sadly, there?s one more thing that can drive your prices even lower: a price war. Just like in the brick-and-mortar world, a good number of online retailers are now trying to undersell each other. So even if they are able to achieve reduced OPEX, they would still find it difficult to make substantial savings.

What you need to understand is that, while price is a big motivator for buying online, it is no longer the only factor experienced online shoppers consider when choosing between two online shops.

Customers who buy purely on the basis of price, are very fickle. They can easily jump ship as soon as they discover another online store offering better discount. If what you’re looking for are repeating, loyal customers, you can’t make low prices your key differentiator.

Winning customer loyalty

Just like in the brick-and-mortar world, buyers will keep coming back to you if they find in your website true value for their money. There certainly are people who don’t just look at price tags when buying products from the Web. These folks are looking for the total package.

But other than affordable prices, what factors can win customer loyalty? You’re probably thinking a fresh user interface, multiple payment options, a good return policy, prompt delivery, reviews and testimonials, product comparisons, and so on.

Well, those are important too and you certainly should have those features and characteristics in place.

Meeting customers? needs through CRM-eCommerce integration

But there?s more you can do to enhance the customer?s experience on your site. Offering exactly the products they’re looking for and providing all relevant information they need when they need it, will give them a sense of belonging.

Since different customers have different desires you obviously would have to know your customers first before you can attempt to fulfil those desires. And, honestly, the only way to do that with accuracy and precision, and the only way to collect a significant amount of relevant customer information and make sense of it all, is by integrating CRM with your e-commerce platform.

Increasing Sales and Savings from integrating CRM into e-Commerce

The main benefit of integrating CRM with e-commerce is that it will help you enhance the customer experience. That’s cool but what does that translate to monetarily? Well, for one, that can significantly increase customer retention. Higher customer retention can only lead to increased sales in the long run.

As with regards to savings, if you are able to deliver exactly what your customers want, you can significantly bring down refunds and charge-backs.

Very few businesses have the financial resources to meet their competitors head on in a price war. Chances are, you’re not one of those few. Still, whether you like it or not you’re already in the thick of it. By building customer relationships, you can win the price war without engaging in it.

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Could Kanban Be?Best for Knowledge Workers?

Knowledge Workers include academics, accountants, architects, doctors, engineers, lawyers, software engineers, scientists and anybody else whose job it is to think for a living. They are usually independent-minded people who do not appreciate project managers dishing out detailed orders. Kanban project management resolves this by letting them choose the next task themselves.

The word ?Kanban? comes from a Japanese word meaning ?billboard? or ?signboard?. Before going into more detail how this works let’s first examine how Japanese beliefs of collaboration, communication, courage, focus on value, respect for people and a holistic approach to change fit into the picture.

The Four Spokes Leading to the Kanban Hub

  1. Visualise the Workflow ?You cannot improve what you cannot see. The first step involves team members reducing a project to individual stages and posting these on a noticeboard.
  2. Create Batches ? These stages are further reduced to individual tasks or batches that are achievable within a working day or shift. More is achievable when we do not have to pick up where we left off the previous day.
  3. Choose a Leader the Team Respects – Without leadership, a group of people produces chaotic results. To replace this with significant value they need a leader, and especially a leader they can willingly follow.
  4. Learn and Improve Constantly ? Kaizen or continuous improvement underpins the Japanese business model, and respects that achievement is a step along the road, and not fulfilment.

The Kanban Method in Practice

Every Kanban project begins with an existing process the participants accept will benefit from continuous change. These adjustments should be incremental, not radical step-changes to avoid disrupting the stakeholders and the process. The focus is on where the greatest benefits are possible.

Anybody in the team is free to pull any batch from the queue and work on it in the spirit of collaboration and cooperation. That they do so, should not make any waves in a culture of respect for people and a holistic approach to working together. All it needs is the courage to step out of line and dream what is possible.

The Kanban Project Method ? Conclusions and Thoughts

Every engine needs some sort of fuel to make it go. The Kanban project management method needs collaboration, communication, courage, focus on value, respect for people and a holistic approach to work. This runs counter to traditional western hierarchies and probably limits its usefulness in the West.

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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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