Three Steps to High Quality Master Data

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Data quality is critical to business, because poor business data leads to poor operations and poor management decisions. For any business to succeed, especially now in this digital-first era, data is “the air your business needs to breathe”.  If leadership at your organization is starting to consider what digital transformation means to your business or industry – and how your business needs to evolve to thrive in these changing times, they will likely assess the current business and technology state. One of the most common outcomes management may observe is that the business systems are “outdated” and “need to be replaced”. As a result, many businesses resolve to replace legacy systems with modern business systems as part of their digital transformation strategy.

Digital Transformation Starts with Data

More than likely, those legacy systems did a terrible job with your business data. They often permitted numerous, incomplete master data records to be entered into the system. Now, you have customer records which aren’t really customers. The “Bill To’s” are “Sold-To’s”, the “Sold-To’s” are “Ship-To’s”, and the data won’t tell you which is which. You might even have international customers with all of their pertinent information in the NOTES section. Each system which shares customer master data with other systems contains just a small piece of the customer, not the complete record.

This may have been the way things were “always done” or departments made due with the systems available, but now it’s a much larger problem, because in order to transform itself, a business must leverage its data assets. It’s a significant problem when you consider all the data your legacy systems maintain. Parts, assets, locations, vendors, material, GL accounts: each suffer from different, slightly nuanced data quality problems. Now it hits you: your legacy systems have resulted in legacy data.  And as the old saying goes – “garbage in, garbage out.” In order to modernize your systems, you must first get a handle on data and your data practices.

Data Quality Processes

The data modernization process should begin with Master Data Management (MDM), because MDM can be an effective data quality improvement tool to launch your business’ Digital Transformation journey. Here’s how a data quality process works in MDM.

  1. Data Validation – Master Data Management systems provide the ability to define data quality rules for the master data. You’ll want these rules to be robust — checking for completeness and accuracy. Once defined and applied, these rules highlight the gaps you have in your source data and anticipate problems which will present themselves when that master data is loaded into your shiny new modern business applications.
  2. Data Standardization – Master Data thrives in a standardized world. Whether it is address standardization, ISO standardization, UPC standardization, DUNS standardization, standards assist greatly with the final step in the process.
  3. Matching and Survivorship – If you have master data residing in more than one system, then your data quality process must consider the creation of a “golden record”. The golden record is the best, single representation of the master data, and it must be arrived at by matching similar records from heterogeneous systems and grouping them into clusters. Once these clusters are formed, a golden record emerges which contains the “survivors” from the source data. For example, the data from a CRM system may be the most authoritative source for location information, because service personnel are working in CRM regularly, but the AR system may have the best DUNS credit rating information.

Modernize Your Data and Modernize Your Business

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These three data quality processes result in a radical transformation in the quality of master data, laying the foundation for critical steps which follow. Whether or not your digital transformation involves system modernization, your journey requires clean, usable data. Digital transformation can improve your ability to engage with customers, but only if you have a complete view of who your customers are. Digital transformation can empower your employees, but only if your employees have accurate information about the core assets of the business. Digital transformation can help optimize operations, but only if management has can make informed data driven decisions. Finally, digital transformation can drive product innovation, but only if you know what your products can and cannot currently do.

Berry_Brian-240About Brian: Brian Berry leads the Microsoft Business Intelligence and Data Analytics practice at BlumShapiro. He has over 15 years of experience with information technology (IT), software design and consulting. Brian specializes in identifying business intelligence (BI) and data management solutions for upper mid-market manufacturing, distribution and retail firms in New England. He focuses on technologies which drive value in analytics: data integration, self-service BI, cloud computing and predictive analytics. 

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Building Meaningful Relationships Through IoT Driven Customer Engagement

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We all know the importance of building meaningful relationships with our customers. Consumers want to know the products they buy are reliable. They want to see value from the services they pay for. They want to know the companies they’re doing business with are trustworthy, helpful and honest. Whether it be through social media, sending out newsletters and surveys, hosting webinars and seminars, or other activities, most (if not all) companies employ some sort of process or platform for engaging with their customers. With the emergence of new technology and the rise of smart devices companies are now positioned to take customer engagement to the next level.

How Can the Internet of Things (IoT) Help Your Customers?

What if you could help solve your customers’ problems before they have them? What if you could make meaningful recommendations and provide targeted guidance to your customers based on how they’re using your products? What if you could always be connected to your customers? You can, with the Internet of Things.

Based on data from the State of the Market: Internet of Things 2016 report from Verizon, IoT is having a large impact on how businesses are engaging their customers. Here are a few key points taken from the report.

  • 72% of organizations feel IoT is critical to their competitive advantage.
  • 76% of early movers in manufacturing say IoT is increasing insight into customer preferences and behavior.
  • 54% of early movers in healthcare are using IoT to enrich products and services with information
  • 81% of early movers in the public sector believe their citizens increasingly expect them to offer enhanced services using data from IoT.
  • 77% of retailers are seeing IoT change the customer experience.
  • 84% of retail early movers say their customers value exchanging information to improve their experience.
  • 83% of early movers in financial services say customer relationships are increasingly driven by ongoing service agreements rather than transactional product sales.

For me, one of the more interesting statistics was that in the public sector 81% of early movers believe citizens increasingly expect them to offer enhanced services using data from IoT. Using smart devices and sensors, data can be processed practically in real-time so that decisions can be made on the fly to enhance services. This information can then be relayed back to cloud servers to provide insight and drive policies to further enhance services while cutting costs. Soon customers will come to expect these types of enhancements, and companies that don’t follow suit may lose customers to competitors that are early movers. With more and more private sector companies across an array of industries leveraging IoT to engage their customers, are consumers going to begin expecting services enhanced by technology from all businesses? I believe many already do and that the trend is on the rise.

About Matt:

As a senior in BlumShapiro’s Technology Consulting Group, Matt has over 7 years of experience with Microsoft .NET software application development, including solutions for web, client/server and mobile platforms.

Matt’s past experience includes freelance web development, and running his own business in web application design and development. Matt joined BlumShapiro in 2012 as a staff consultant, and won the Rookie of the Year award his first year at BlumShapiro.

 

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A Digital Transformation – From the Printing Press to Modern Data Reporting

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Imagine producing, marketing and selling a product that has only a four-hour shelf life! After four hours, your product is no longer of much value or relevance to your primary consumer. After eight hours, you would be lucky to sell any of the day’s remaining stock. Within 24 hours, nobody is going to buy it; you have to start fresh the next morning. There is such a product line being produced, sold and consumed to millions of people around the world every day. And it’s probably more common than you think.

It’s the daily newspaper.

With such a tight production schedule, news printers have always been under the gun to be able to take the latest news stories and turn them into a finished printed product quickly. Mechanization and automation have pretty much made the production of the modern daily paper a non-event, but it has not always been that way.

150 years ago, the typesetter (someone who set your words, or ‘type’, into a printing press) was the key to getting your printed paper mass produced. With typesetters working faster than your competitors, you could get your product, your story, out to your consumers faster, gaining market share. However, it was still very much a manual process. In the late 1800s the stage was set for a faster method of setting type. One such machine, the Paige Compositor, was as big as a mini-van and had about 15,000 moving parts. (Samuel Clemens, a.k.a. Mark Twain, invested hundreds of thousands of dollars in the failed invention, leading to his financial ruin.) On a more personal scale and at the modern end of the spectrum, we think nothing of sending our finished work, perhaps the big annual report, off to the color printer or ‘office machine’, or upload it to a local printing vendor who will print, collate and bind the whole job for us in a fraction of the time it would take a typesetter to layout even the first page!

So why am I telling you all this? It’s certainly not for a history lesson. The point is that the printed news industry went through a transformation from nothing (monks with quill pens), to ‘mechanization’ (Gutenberg’s printing press), to ‘automation’ and finally to ‘digitalization.’ And, they had to do so as the news consumer evolved from wanting their printed subscription on a monthly basis, down to the weekly, to the daily and even to the ‘morning’ and ‘evening’ editions. Remember, after four hours, the product is going stale and just about useless. (We could debate whether the faster technologies was what drove news consumers to want information faster, or if the needs of the consumer inspired the advancements in technology, but we won’t.)

Data and reporting has followed the same phases of transformation, albeit not along a much accelerated time span. The modern data consumer is no longer satisfied with having to request a green-bar, tractor fed report from the mainframe, then wait overnight for the ‘job’ to get scheduled and run. They’re not even satisfied with receiving a morning email report with yesterday’s data, or even being able to get the latest analytics report from the server farm on demand. No, they want it now, they want it in hand (smart phones), and they want it concise and relevant. To satisfy this market, products are popping up that fill this need in today’s data reporting market. Products like Microsoft’s Power BI can deliver data quickly and efficiently and in the mobile format demanded due to the industry’s transformation to digital processing. Technologies in Microsoft’s Azure cloud services such as Stream Analytics, coupled with Big Data processing, Machine Learning and Event Hubs have the capabilities to push data in real time to Power BI. I’ll never forget the feeling of elation I had upon completing a simple real-time Azure solution that streamed data every few seconds from a portable temperature sensor in my hand to a Power BI Dashboard. It must have been something like Johannes Gutenberg felt after that first page rolled off his printing press.

Gutenberg and Clemens would be amazed at the printing technology available today to the everyday consumer, yet we seem to take it for granted. Having gone through some of the transformation phases with regard to information delivery myself (yes, I do in fact recall 11×17 green-bar tractor-fed reports) I tend to be amazed at what technologies are being developed these days. Eighteen months ago (an eon in technology life) the Apple watch and Power BI teamed up to deliver KPI’s right on the watch! What will we have in another eighteen months? I can’t wait to find out.

About Todd: Todd Chittenden started his programming and reporting career with industrial maintenance applications in the late 1990’s. When SQL Server 2005 was introduced, he quickly became certified in Microsoft’s latest RDBMS technology and has added certifications over the years. He currently holds an MCSE in Business Intelligence. He has applied his knowledge of relational databases, data warehouses, business intelligence and analytics to a variety of projects for BlumShapiro since 2011. 

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What is Workflow Automation? And Why Should I care?

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Time. Workflows save time by automating processes.

Time is the only resource that you can’t create, buy, acquire, borrow or steal. That, makes time incredibly valuable, which has been recognized by great thinkers throughout the years.

  • “You may delay, but time will not.” Benjamin Franklin
  • “The future is something which everyone reaches at the rate of 60 minutes an hour, whatever he does, whoever he is.” C. S. Lewis
  • “My favorite things in life don’t cost any money. It’s really clear that the most precious resource we all have is time.” Steve Jobs
  • “Time is the most valuable thing a man can spend.” Theophrastus
  • “We must use time as a tool, not as a couch.” John F. Kennedy

And for the more practical, less philosophically minded, “Time is money.” Benjamin Franklin

Workflows create time for people by automating routine processes by machine. It’s that simple.

For any division, organization or line of business that has a routine process that is used regularly, it is worth investing in the development of an automated workflow.

Workflows for Human Resources:

Need to onboard a new hire? There’s a workflow for that.

Need to manage a review process? There’s a workflow for that.

Workflows for Procurement:

Need to send out an RFQ? There’s a workflow for that.

Need to evaluate a vendor? There’s a workflow for that.

Workflows for Finance:

Need to close out year end? There’s a workflow for that.

Need to publish an annual report? There’s a workflow for that.

Workflow for Marketing:

Need to put together a launch campaign? There’s a workflow for that.

Need to manage your social media? There’s a workflow for that.

Here’s how it works, in a simple example. Using an “off the shelf” tool you can have your phone check the weather and remind you to dress appropriately.

IF it’s likely to rain today THEN text me a message to bring my umbrella.

Have trouble maintaining your inbox and afraid you’re going to miss an important message from your manager?

IF <manager> sends me an email, THEN text <number>.

These are both super easy to set up with drag and drop workflow automation tools like “If this then that” and Microsoft Flow.

Workflows not only save time, they can relieve workers of a monotonous routine function enabling them to focus on more important work.

Workflows can capture institutional knowledge—reducing reliance on an individual by putting process into a system that can be shared and used by the entire organization. When a process is independent of an individual, that process can be decentralized, meaning that the knowledge of that process can be shared at scale.  Decentralized processes create speed, efficiency and transparency, critical factors in digital transformation.

In short, workflows save time through basic automation.  What’s amazing about workflows is how easily they scale, saving a little time for many which adds up to a whole lot for the organization.

About Noah

240-Ullman,-NoahNoah is the Director of Business Development for BlumShapiro’sTechnology Consulting Group. He brings over 25 years of business experience from entrepreneurial start ups, to over a decade of working at Microsoft in various sales, marketing and business development roles. Noah has launched Windows XP, Office XP, Tablet PC, Media Center PC, MSN Direct Smartwatches (an early IoTattempt), several videogames, a glove controller, and a wine import company/brand. Noah spent three years living overseas building out Microsoft’s Server and Tools business in Eastern Europe working with the IT Pro and developer communities. He considers himself a futurist, likes science fiction and loves applying what was recently science fiction to real world problems and opportunities. 

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