What are the characteristics of Big Data as a Service?

With rich experience in data management for more than a decade, InfoTrellis is pioneering big data management. Traditional data processing techniques are proving to be inadequate. We have the business acumen and technical expertise to provide the best-in-class solutions for handling big data.

Our Big Data Services Include:

Big Data Advisory

• Leads you from Proof of Concept to Production implementation
• Evaluates, models and incorporates the latest tools and technologies
• Suggests a right fit of technologies based on requirements and budget

Architecture Consulting

• The right architecture that suits your current needs and can be extended to fit your future needs
• The right integration plan with your existing technology stack to minimize risk and align with cost and business strategy
• Architecture consulting for your real-time data processing needs and batch processing

What are some of the must-have features in an Master Data Management (MDM) product?

1. Delivery Methodology – Our Smart MDM™ methodology is a result of our many years of experience working with clients on complex MDM programs. This methodology offers a common sense, multi-phased approach based on parts of Rational Unified Process (RUP) and Agile development methodologies. It blends deliverables with accountability and requires customer-focused teams to collaborate to deliver a high-quality MDM solution. It provides tested methods to ensure success for MDM projects.

Advantages of Smart MDM™:

• Value is delivered early and often
• Greater ability to respond to change
• Collaboration encouraged between business and IT
• Tried and tested approach on multiple projects
• Client satisfaction managed more closely

2. Solution Accelerators – Based on our years of experience implementing MDM programs, we built a number of solution accelerators to speed up our services delivery. These include:

• Templates for various phases of a project
• Automation tools for testing
• Quick test data preparation
• Audit tools to review our solution
• Codebase for quality

Some of the tools include:

• ITLS Service Tester used for functional and regression testing
• Test Data Generator
• Validator
• AutoUI which is used to automate DSUI testing

What is Master Data Management Software?

InfoTrellis has a rich legacy in Master Data Management (MDM) and is founded by the team that has been shaping the industry since 1999. When you work with InfoTrellis, you’re dealing with the industry’s most knowledgeable service provider and have access to the most experienced MDM resources available.

We provide strategic consulting and tactical expertise to help clients define and deploy Master Data Management (MDM) solutions in service of their business objectives. InfoTrellis has expertise in all editions of IBM MDM, including MDM Server Standard Edition (f.k.a Initiate Master Data Services), MDM Server Advanced Edition, MDM Server Collaboration Edition (f.k.a PIM) and has worked on Customer, Product, Location, Vendor and Account domains. We were part of the team that architected the first multi-domain MDM Server covering the Product and the Account domains and were one of the first companies to implement IBM’s Reference Data Management (RDM) solution.

Which is Good Master Data Management Agency in USA?

InfoTrellis has a rich legacy in Master Data Management (MDM) and is founded by the team that has been shaping the industry since 1999. When you work with InfoTrellis, you’re dealing with the industry’s most knowledgeable service provider and have access to the most experienced MDM resources available.

We provide strategic consulting and tactical expertise to help clients define and deploy Master Data Management (MDM) solutions in service of their business objectives. InfoTrellis has expertise in all editions of IBM MDM, including MDM Server Standard Edition (f.k.a Initiate Master Data Services), MDM Server Advanced Edition, MDM Server Collaboration Edition (f.k.a PIM) and has worked on Customer, Product, Location, Vendor and Account domains. We were part of the team that architected the first multi-domain MDM Server covering the Product and the Account domains and were one of the first companies to implement IBM’s Reference Data Management (RDM) solution.

Which are the top Master Data Management Agency?

InfoTrellis has a rich legacy in Master Data Management (MDM) and is founded by the team that has been shaping the industry since 1999. When you work with InfoTrellis, you’re dealing with the industry’s most knowledgeable service provider and have access to the most experienced MDM resources available.

 Master Data Management Agency

We provide strategic consulting and tactical expertise to help clients define and deploy Master Data Management (MDM) solutions in service of their business objectives. InfoTrellis has expertise in all editions of IBM MDM, including MDM Server Standard Edition (f.k.a Initiate Master Data Services), MDM Server Advanced Edition, MDM Server Collaboration Edition (f.k.a PIM) and has worked on Customer, Product, Location, Vendor and Account domains. We were part of the team that architected the first multi-domain MDM Server covering the Product and the Account domains and were one of the first companies to implement IBM’s Reference Data Management (RDM) solution.

One City’s Small Business Loyalty Programs Are Becoming An Interconnected Web

Wouldn’t it be cool to pay for parking with points accumulated at your favorite local coffee shop? What about getting a new pair of shoes with points earned by frequently picking up bread at the local bakery? Or going out for a round of golf courtesy of the dry cleaners you visit all the time?
Small businesses can’t compete with big chains or corporations when it comes to loyalty programs. They don’t have the capital to invest in building massive, innovative programs, and often have to depend on something simple like a small stamp card, which doesn’t provide them with any customer data or differentiate between higher or lower value customers.
Impressive loyalty analytics, customized rewards, and easily tracked points are often the mark of a large company – these sorts of features usually aren’t accessible to small businesses with less data and fewer resources.

A company in the Netherlands called Shopper Concepts is looking to change that.

 

In partnership with InfoTrellis, Shopper Concepts is creating a loyalty management and analytics program for the connected, savvy customer. This loyalty platform, called Buzzoek, is emerging as a unique and powerful tool for small business owners. Throughout Amsterdam, local businesses that use this loyalty platform pool their resources, sharing transactional data for more powerful analytics, connecting to better learn the individuals who buy from them and what their likes are. They can even enable customers to use rewards points earned at one store in any other store that uses the same program.

Consumers can even share their rewards with friends (or even total strangers!) via Facebook, Twitter or Email. The team behind the Buzzoek loyalty program has also partnered with UNICEF to allow program members to donate their rewards directly to charity. Read more .

Using External Data in MDM Systems

Let me start by saying that this is not an article about big data.  While the source of big data is external to your organization, it is a topic of its own.  Many of the concepts and approaches discussed will definitely apply to your big data initiatives, but that won’t be the focus of this article.
External data is information that is sourced from outside of your organization.  This could be information you purchase from a marketing or service organization, a government agency, the post office, or a business partner.  There are many potential sources of external information.
External data can be used for various purposes in your MDM implementation.  You can use external data to:

• Enrich your MDM data with new information you are unable to collect on your own
• Validate information you have captured in your own systems
• Update information you have captured to improve the quality of the data
• Use it as reference data to provide additional information without fully integrating it into your MDM system
• Use it as a source of test data for environments where data privacy prevents usage without masking but valid data is required

There are many approaches that can be used to integrate external data with your MDM implementation.  Your external data can be used to update your MDM data as is the case with enrichment and data quality initiatives.  Your external data can be stored outside of your MDM implementation which is used for reference implementations and data quality initiatives.  How you decide to integrate your external data can also have licensing implications either for your data provider or your MDM licensing.  Integration choices, depending on the source, may also offer real time integration services versus taking the information base in-house.
When integrating information from external sources, you may face the issue of which source to trust over another.  Typically, purchased sources from outside provide a high quality of information, while data provided by a business partner may have issues of its own.  If you haven’t yet addressed trusted sources for your MDM single version of truth, external data sources may highlight this need.
Read more..