Business Technology

Data Quality and Integration

 

Bring together information from all parts of your business. Organizations traditionally have focused on the collection and storage of data for operational and transactional efficiencies. As a result, data may be spread across multiple applications, databases, and structures, which inhibits effective enterprise reporting. Today’s organizations recognize the value contained in their data and seek ways to unlock it, bring it together, and realize its full potential.

At EKS&H, we help you understand, manage, integrate, protect, and turn your data into a trusted source of information.
Data Roadmapping
Whether your organization is embarking on new BI and data integration initiatives, or simply looking to evaluate the current architecture, we not only articulate your options and recommend the best architecture to support your ongoing needs, but we also explain the reasoning behind those recommendations.

We look at both the functional and technical requirements that we have found to be most critical in determining the success of data integration and reporting projects. We start with your business needs and work our way backward, concentrating on three basic questions: what, why, and how. What is your needs gap? Why does it exist? How do we rectify it?

One critical objective of our service is to empower you through collaborative education. We can explain concepts and strategies in the context of your need and obtain buy-in by exploring alternatives and asking and answering the right questions. Collaboration and discussions around “the art of the possible” are huge components of our solution.
​Data Warehousing
In the same way that operational databases are geared toward data collection and transactional efficiencies, data warehousing is a technology and set of concepts that aim to best utilize that data. In other words, it is geared toward enterprise reporting and opens the door to leverage technologies such as business intelligence (BI), which allows you to “slice and dice” that data to gain competitive insight in a number of ways.

How does Data Warehousing Work?

  • Data warehousing seeks to organize and store the data in a manner more aligned with business processes and goals. This usually involves a dimensional structure that makes it easier for a business user to understand and is inherently much more conducive to reporting.
  • Data warehousing can serve as the common repository by which you pull together and integrate data from multiple sources. This allows for reporting across areas where it was not previously possible and opens up the realm of enterprise reporting.
  • A data warehouse tracks changes in the operational data over time, which allows for longitudinal analysis; preparing for the future by learning from the past. The warehouse is flexible enough to isolate itself structurally from the impact of those changes while allowing you to incorporate and report on them.
  • Data warehousing removes the reporting burden from the operational systems which are then free to more efficiently do the job for which they were intended.

Real-Time and Batch Data Integration (EII, ETL, and EAI)

Many data warehousing projects have underperformed or failed because operational reporting or tactical analysis requirements were not met by standardized data warehouse architecture. The reality is every organization has different and unique needs when it comes to data integration. This is a key to your competitive advantage. At EKS&H, we never lose sight of the fact that the true importance of the data warehouse lies in the quality and business value of the data and reporting that it feeds.

Flexibility is Key

Our flexible approach embraces not only batch oriented integration but also real-time technologies such as enterprise information integration (EII) and enterprise application integration (EAI). This ensures that the architecture implemented meets all your reporting and analysis requirements. We also utilize data profiling, data cleansing, and metadata tools and technologies to verify business rules are reflected in the data and to ensure that the data is as accurate as possible.
​Data Quality
The topic of data quality is often the elephant in the room. Everyone seems to agree that data quality is critical to effective decision making, but no one wants to admit that they have poor quality data. The reality is that nobody’s data is perfect, but recognizing the issues and addressing them will allow you to get a more accurate picture of your business and take your reporting to the next level.

Data Quality Analysis

Our data quality analysis looks at the drivers of your business and the processes for data entry and provides a thorough profiling of your current data. Our deliverable focuses on the business impact to the areas of concern as well as the technical details to help garner the proper level of support. We look at your business rules and ask, “Is the data telling us the same story? And, if not, why not?”

Data Profiling

Keeping the data warehousing principle of “one version of the truth” in mind, we use various data profiling techniques to identify data inconsistencies and investigate master data management (MDM) issues, such as identity resolution (search and match multiple definitions of the same business object or entity—for example the same customer with multiple names or date of birth) and address doctoring (using address validation to cleanse and standardize variations of the same address, such as Street, St., Str., incorrect or missing zip codes, etc., to postal certification standards).

The EKS&H Advantage

  • Experience—Combining years of data integration consulting experience with the expertise of individuals who have been in your shoes as CIOs, IT directors, and others, we are knowledgeable about proven methodologies and solutions to optimize your business outcomes.
  • Business focus—We think like business people, beyond IT.  We tackle data issues from a business mindset. Our solutions help you operate your business more effectively and efficiently.
  • Collaboration—Our approach is an iterative, collaborative process that promotes active participation and knowledge transfer across the enterprise.

Talk with Our Practice Lead

Connect with Mark Richards to discuss your data quality and Integration options.

Contact Mark »