Tag Archives: Amazon

Big Product Data: Leverage the Best Content Merge for Better Customer Service

According to a Forbes article, the average organization will grow their data by 50 percent in the coming year. Overall corporate data is expected to grow by 94 percent. According to Informatica, data is predicted to increase by as much as 75 times the current volume by the year 2020. What is Big Data all about? Big Data is the management and analytics of an immensely growing volume, variety, and velocity of data in a digital world. A precise definition of big data from analysts like Gartner and Forrester is a hot topic right now that is covered in a lot of blogs.

In my point of view, big data is connecting the dots. It is connecting more than ever before. But what is the role of product data in a big data world?

After recently talking to our customer Halfords, the UK retailer for bicycle and auto parts revealed: All challenge Amazon. Halfords is known as the expert and friend for cyclists. Therefore they position their brand as the leading expert with the best information. They use product information as a differentiator in the market to gain customers’ trust.

This article refers to a challenge that a lot of distributors and retailers are facing. In order to better serve their B2B and B2C customers, they grow and position their product range to be the one trusted supplier. The long tail (endless aisle) strategy offers higher margins with niche products as well.

These distributors and retailers are faced with the challenge of handling 100s or 1000s of suppliers providing content for millions of products. What happens when different suppliers provide information for the same product?

A business case of big product data: Innovative distributors attempt to merge different product content to create the best and richest product information. This requires an intelligent analysis of a supplier’s product data, and intelligent automatism in order to merge this data to create superior product content. The role of the data steward in defining these rules and policies becomes more important than ever before.

How can this be solved?

Data doesn’t only come from suppliers but from other data sources as well. Basic product information might come from a data hub like GS1 or could be synchronized from the distributor’s ERP system, which in turn might be leading the creation of new products in the distributor’s master assortment.

This basic data will be enriched by data coming directly from the manufactures or the suppliers of the distributor. These different data sources provide content for the same products in different levels of quality, richness, and completeness.

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Which parts of product information are used from which data sources is determined by objective data quality rules combined with a definition of trust specific to each data source. One supplier is known for accurate descriptions in English while another provides the better German information. And yet a third data source usually provides the best images.

Governance of Product Information Creates Competitive Advantages

This is when Product Information Management comes into the field: to control big product data. According to Heiler’s PIM Product Manager, Markus Schuster, these business processes can only be successful when used with intelligent, highly automated data quality proofpoints and workflows that adhere to the data governance policy.

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Posted in Master Data Management, Product Information Management | Tagged , , , , , , , , , , | Leave a comment

The Importance of User Experience to Cloud Integration Adoption

The Informatica Winter 2013 announcement included the following customer quote:

“The Winter 2013 release will accelerate the time it takes to access, integrate and deliver valuable data in order to meet our business imperatives.”

It was also noted that, “the new Informatica Cloud user interface will make the cloud integration solution even more user friendly.”  There are a number of user experience enhancements with this upgrade, so I sat down with Joshua Vaughn, Principal User Experience Designer for Informatica Cloud, to learn more about the impetus behind the new design and features, what’s on the horizon for the future releases, and why user interface (UI) design is so important for cloud applications.

(more…)

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Posted in Cloud Computing, Data Synchronization | Tagged , , , , , , , , , , , , , , , | Leave a comment

Bargaining Goods for Personal Data

Data privacy isn’t a topic that has strayed far from the news agenda. With  6.5 million LinkedIn passwords exposed and the European Commission calling for new laws to strength the right to access, change or delete personal data, you’d think the general population would be guarding their data even more firmly – especially as only 35 per cent of UK adults trust businesses to use their personal data as directed by them. Yet, research we released last month revealed a step change in consumer attitudes, with the emergence of a younger, more data-savvy, generation, who are intrigued by what their personal data can do for them.

35% of 18- to 34-year olds in the UK revealed that they are comfortable providing personal information to organisations to help them tailor future offers and communication.  Further to that, almost one in ten (9%) of the younger generation (those aged 18 to 34) felt that the more personal information they provide a business with, the better the service they receive as a result. The fact is – big data can provide organisations with an unprecedented opportunity to improve customer experience through highly personalised and targeted communications.  Amazon is a good example of this, doing the exact thing, using its big data to get customer love. (more…)

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Posted in Big Data, Data masking, Data Privacy | Tagged , , , | 1 Comment

Informatica Announces First Cloud Archiving Service Optimized For Databases

This is my first blog for Perspectives and I wanted to talk about one of last week’s announcements -Informatica introduced the first ever cloud archiving service optimized for databases.   Since then, I’ve had a number of questions from customers and analysts about what exactly makes it optimized?   Certainly, a number of vendors have the ability to land data in the cloud, so how is this different?  Let me capture the highlights:

  • The data is massively compressed before transmission-close to 60:1. That can take the upload time down from days or weeks to hours or minutes. No need to constantly mail DVDs to Amazon to get data on S3. (more…)
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Posted in Application ILM, Cloud Computing, Data Integration | Tagged , , | Leave a comment

Informatica On Amazon EC2 – Why?

Last week we made a significant announcement relating to the availability of our flagship product “PowerCenter” on the Amazon EC2 infrastructure. Why?

The answer lies in the profound advancements that are happening in the area of “cloud infrastructure.”   For many years we have talked about running applications “on-premise” and “on-demand.”  Companies like Salesforce.com have pioneered the delivery of applications on their own infrastructure and we’ve become very familiar with the concept of software-as-a-service.  So where has Amazon come from? (more…)

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Posted in Cloud Computing, Customers, Data Integration, News & Announcements | Tagged , , , , , , , | 6 Comments