Modern Data Architecture

Organize and facilitate the way data is collected, stored, and disseminated to accelerate insights

Data Architecture solutions consolidate and unify data for more streamlined experiences

Oftentimes in business, we spend more time thinking about what data is being collected and analyzing that data, instead of paying attention to how data is actually being collected and stored. Now, don’t get us wrong; the former is important, too. But, until you have a system for organizing data, you can forget about analyzing it and visualizing it in a meaningful way. This is where modern big data architecture comes in.

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Why invest in a modern Data Architecture solution?

Data Architecture partner Headspring

Imagine a bookstore that didn’t have any sort of system for organizing their books. Then, a customer comes in looking for a certain book or story, and the bookstore owner hasn’t got the slightest idea of which direction to point the customer in. The owner might be very knowledgeable on a ton of topics—but that knowledge is lost without a system.

Your business is no different. Think of these books as the data your company uses for everyday operations, whether it’s information on items in customers’ carts or the demographics of your target audience. The customer is you, a business stakeholder, or a potential partner. You need to be able to interpret your data to grow your business and ultimately increase their profit. But, if you have no system for organizing data in the first place, you’ll be spending time, money, and other resources that could be better allocated elsewhere.

By implementing modern data architecture solutions and data architecture best practices, you can consolidate and unify your data so that you can surface the insights you need quickly. Data architecture provides an essential foundation for gaining insights and fulfilling your business goals.

Benefits of doing Data Architecture right

Today, companies are swimming in data, and the latest technologies promise us even more. That’s great! A solid architecture helps you align that data with business priorities—and actually put it to good use.

Cross-industry studies show that, on average, less than half of an organization’s structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or used at all.

Harvard Business Review

You might not even realize how much data is languishing, or the opportunities that you’re missing out on. With a modern Data Architecture solution in place, you’ll be able to extract more value from your data. Data architecture makes your business more agile and saves you money on resources by defining, labeling, and organizing data in order to make it accessible and shareable within your system’s network.

See what a different data architecture can make:

Non-existant or outdated Data Architecture solution

  • Data is hard to locate because it’s not organized; for instance, you might be using different terms for the same category of data
  • Stakeholders can’t get “the whole picture” on the business
  • Security may be overarching, but not specific, creating holes in your system that are hard to recognize
  • Your onboarding schedules are costly and inefficient and your user experience is lacking

With a custom created modern Data Architecture solution

  • Costs are down because you’re optimizing data flows, leading to more business efficiency overall
  • You have KPIs and metrics that make sense once you get to the analytics stage
  • You can align security needs for each data set you’re working with
  • Users have a streamlined experience and know exactly where to find what they’re looking for

Non-existant or outdated Data Architecture solution

  • Data is hard to locate because it’s not organized; for instance, you might be using different terms for the same category of data
  • Stakeholders can’t get “the whole picture” on the business
  • Security may be overarching, but not specific, creating holes in your system that are hard to recognize
  • Your onboarding schedules are costly and inefficient and your user experience is lacking

With a custom created modern Data Architecture solution

  • Costs are down because you’re optimizing data flows, leading to more business efficiency overall
  • You have KPIs and metrics that make sense once you get to the analytics stage
  • You can align security needs for each data set you’re working with
  • Users have a streamlined experience and know exactly where to find what they’re looking for

Modern Data Architecture success stories

A cloud-based API strategy data access

A cloud-based API strategy to streamline data access

Our investor client relied on a powerful data-modeling application to make decisions and wanted to leverage online data warehouses. We created an API design to streamline database queries while opening up possibilities for scale.

Upgrading systems Austin

Spinning up powerful insights for a bearings manufacturer

Our client needed a way to better service their customers by collecting better insights. We developed a shared method for collecting equipment data and built an app to streamline access, processing, and key insights.

Data-processing for employers

Raising the bar on data-processing for employers

We helped a drug testing solutions provider upgrade their ETL application to enhance the collection of critical data from various feeds, keeping their most critical revenue sources safe.

Six considerations for building robust Data Architecture solutions

A good data architecture solution works backward from your business needs and system requirements, creating flows that you can manage across your entire organization. Our data architecture consultants consider three types of users and three data types/flows to give you consolidated and unified data that’s manageable on the back-end. These are important data architecture principles:

Data Architecture – Users

System Integrators

We break down each user data component into broad and common data elements and define each of them in categories, so they are essentially labeled, categorized and kept in sync across your entire application and data portfolio.

Business Operators

Once broad and common elements are defined, we aggregate user data from multiple applications, which we define even further in more specific terms that all team members will understand. It should be tight, accurate, reliable, and updated in real time.

Customers

Customer data can be leveraged to identify new insights and trends and respond better to market demand. In this part of the solution, we assign customers (expressed as data) to certain data brackets, while keeping an eye on new data sources and assigning them correctly as they appear.

Data Architecture – Data Types & Flows

Operational Data

This is all the data that is produced by your business’ day-to-day operations. Structuring operational data enables you to consolidate guest experiences and/or engagements with your business across multiple channels.

Analytical Data

This is operational data that’s been transformed into data that’s easy to understand across the entire company. Here, KPIs and metrics are added and reports are produced to evaluate and enhance business performance, unifying the data.

Marketing Data

We use operational data and unified analytical data as a basis for adding further data sources that are introduced based on latest market trends. Marketing data can be leveraged to support multi channel marketing initiatives, further growing your business.

Why choose us as your Data Architecture partner?

Our goal with any data architecture solution is to translate your specific business needs into data and system requirements and that manage your data and its flow. Data Architecture is comprised of many different components, from collection to storage, arrangement, integration, and use. And it impacts so many stakeholders. That’s why you want more than just a savvy data architect, you want a partner who truly understands your people and your processes; your system and your goals.

We’ve worked with cross-industry companies—from Fortune 500s to startups—helping them to get a handle on their existing data and set up flows that propel them into a insights-fueled future.

We’ve seen what data can do for our clients, that’s why we urge you not to overlook this critical step that can help you generate more business value from the data that is and will be at your disposal. Ignite your data modernization with a modern data architecture blueprint in place.

Headspring Data Architecture solutions

Insights on Data Architecture 



 

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