Blue Street Data

Price transparency, quality transparency, and having choices between data sets are challenges for many data buyers. Thankfully, Blue Street Data’s PQC (Price, Quality, Choice) Engine was designed to address exactly these issues. With PQC, you can easily search for and evaluate data products based on price and quality. Watch the video below, and check out the PQC for yourself: https://hubs.ly/Q02Zcn0m0

What does a “use case” mean to Blue Street Data? Well, our use cases are guides that help companies implement specific third-party data solutions. When buying data, it isn’t always clear what data you might need. Our use case profiles provide in-depth recommendations for what data you should look for and how you can use that data to help your business. Now that you have tackled that problem, you may encounter troubles with finding the right data suppliers. Well, we have the solution for you! Our PQC Engine allows you to customize your data queries and find the right data supplier for your needs instantly! Read more below about what our use case profiles and PQC Engine can offer to you. Check out the PQC Engine: https://hubs.ly/Q02Zc6sM0

Price transparency, quality transparency, and having choices between data sets are challenges for many data buyers. Thankfully, Blue Street Data’s PQC (Price, Quality, Choice) Engine was designed to address exactly these issues. With PQC, you can easily search for and evaluate data products based on price and quality. Check out the PQC Engine here: https://hubs.ly/Q02YyZWh0

?? Transforming Data Challenges into Strategic Advantages ?? At Blue Street Data we’re not just another service provider—we’re your dedicated partner in solving complex data challenges and empowering data-driven decisions. Recently, we had the opportunity to work with a Pittsburgh-based financial institution (let’s call it Bank A) to tackle their data management hurdles and unlock new opportunities. ?? The Challenge: Like many organizations, Bank A faced several key obstacles: - Limited Vendor Options: Forced to choose convenience over fit. - Lack of Customization: Data was generic, not tailored to specific needs. - High Costs: Spending $18,000 on data fees + $17,000 on data cleaning. - Quality Gaps: No assurance of data integrity. - Slow Timelines: 8 weeks for data searches and 6 weeks to assess new vendors. These challenges stifled their ability to make agile, data-driven decisions, slowing down response times and limiting their ability to capitalize on opportunities. ?? The Solution: Enter Blue Street Data's PQC Engine. Our cutting-edge PQC Engine automates the data vendor evaluation process, providing a comprehensive quality score based on 27+ factors. By reducing the vendor assessment period to just 1 week and allowing simultaneous evaluation of multiple vendors, we helped Bank A: - Customize data requests in real time. - Negotiate better pricing for better ROI. - Ensure higher data quality for more actionable insights. Our hands-on support throughout the process, from negotiating pricing to interpreting data insights, allowed us to continuously optimize Bank A’s data strategy—ensuring that each dataset aligned with their evolving needs. ?? The Results: The impact was immediate and substantial: - $16,000 in savings on data costs. - $78,200 in annual savings. - Significant improvement in **data quality**. - 30+ hours per campaign reallocated to strategic initiatives. By transforming how Bank A approached their data, we helped them not only save costs but also enhance their operational efficiency and decision-making capabilities. ?? If you’re facing similar challenges with data vendors, pricing, or quality, Blue Street Data is here to help. Don’t hesitate to reach out and see how our PQC Engine can streamline your data operations and unlock your company’s full potential. Check Out the PQC Engine Here: https://hubs.ly/Q02X-RB30 #DataSolutions #DataQuality #BusinessIntelligence #OperationalEfficiency #DataDriven #CostSavings #Fintech #BlueStreetData #Innovation

Missed our last webinar? Here’s a highlight from our session with Malcolm Hawker, where he shares valuable advice for data buyers. The data buying process is riddled with inefficiencies surrounding data price, quality and choice in datasets. Don’t miss the opportunity to save time and money with Blue Street Data. Access the webinar recording and revolutionize your data buying process today: https://hubs.ly/Q02XV_J80

Often referred to as "defining data needs for prioritized use cases," the second step of the data buyer's journey is a critical one. There is a two-pronged approach when identifying and prioritizing use cases. 1. Identify your most pressing strategic objectives. 2. Determine specific, actionable scenarios where data can be leveraged to achieve these goals. Learn about how to not only identify data gaps but make strategic data acquisition decisions that directly support your organization's goals with the Guide to Buying 3rd Party Data. Here is the link to download: https://hubs.ly/Q02Smt6d0

54.2 million tons of food supply are wasted on an annual basis. If the waste management process is not optimized, it can lead to a plethora of issues. Inventory losses, reduced profits, decreased resource allocation, and other issues can be seen. Interested in learning more about this problem and the solutions? Check out this use case on https://hubs.ly/Q02SlkPn0. #usecase #foodwaste #datausage #usingdata

Price transparency, quality transparency and increased choice between alternatives are three areas that many data buyers struggle to manage when choosing a quality data set. Luckily, Blue Street Data launched the PQC, or Price, Quality, Choice Engine to search for and evaluate data products. Save time, save money, and save the link down below. Check it out: https://hubs.ly/Q02Q77qX0

?? Data Quality: An Overlooked Critical Issue Despite recognizing data's importance, many overlook its quality. A 2017 HBR study revealed only 3% of organizations meet acceptable data quality standards. Gartner found that poor data quality costs firms $12.9M annually. Our latest survey shows a paradox: organizations that don’t validate data still rate its priority high. Why is this? Discover the reasons and get actionable insights in our upcoming Data Quality report. Stay tuned for the release at the end of September! ?? Link to read the blog: https://hubs.ly/Q02PJXNC0 #DataQuality #BusinessInsights #DataManagement #Gartner #HarvardBusinessReview

Did you miss last week's retail banking webinar? How can 3rd party data be optimized in the retail banking industry? Watch the webinar using the link below: https://hubs.ly/Q02Nbv0N0