QuotaPath Implements an All-in-One Data Stack and Starts Leveraging Data Across the Organization
The Start-Up's Guide to a Modern Data Stack
The Right Time to Build a Data Stack
In 2022, 97 zettabytes of data were collected globally. Even though only 2% of these data points are saved, there are obviously massive amounts of data available to those who want to use it. Fortunately, the right technology allows organizations to capture and store vast amounts of data quickly and efficiently. However, turning this data into usable information is another thing altogether.
Part of the problem is organizations collect this data from a variety of sources: they might have performance data in social media platforms and ad platforms, customer history in their CRM, website data in Google Analytics or an SEO tool, payments data in Stripe, product data in a production database, and whatever else is relevant to their company in other SaaS platforms. This data is often grouped together solely based on data collection methods, or stuck in those tools, which is often referred to as data being in ‘silos’. Where businesses have problems is when they try to merge this data together to provide comprehensive and accurate analytical results.
In fact, 80% of business leaders around the world say they have difficulty merging their data. This can lead to incomplete data analysis and cause business leaders to make uninformed business decisions. The best way to avoid this issue is to implement some sort of data analysis platform or data analytics services with the power to easily extract data from different sources and combine it for easier use. When data is organized for easier analysis, it becomes much more feasible to work with the data for impactful analysis. This step can allow business leaders to obtain the data-driven information they need to make sound business decisions.
Why is data-driven analytics of interest to companies? There’s no denying that today’s markets move at a faster pace than perhaps ever before. Business leaders no longer have the luxury of taking a wait-and-see approach — especially during periods when the economy isn’t as strong and selling becomes more difficult, for both B2B and B2C organizations. Instead, they often have to make quick decisions that impact everything from got-tom-market strategy to product development to personnel management and recruitment — all of which cost money. To make these fast, impactful decisions, business leaders must have real-time, relevant data that shows the whole picture rather than just siloed data points.
But how does a fully integrated data and analytics platform enable organizations to convert data to decisions? With a data analysis platform, you can move all your siloed data to a central location, like a data warehouse. While industry definitions of “data analysis platform” vary, what most people are referring to would be some combination of a modern data stack (or modern data platform) and a business intelligence/data visualization tool. For specific needs a company might also layer a customer data platform (CDP) like Segment on top of this stack.
When a modern data platform like Mozart Data is at the center of this collection of tools, you effectively have a data analytics platform that allows you to see all of your data — and work with it — in one place. By moving and organizing all your data to one centralized location, you have the ability to pull the specific data sets you need for effective data analysis.
For example, our Mozart Data online data analysis platform integrates with more than 400 tools and data sources, including Google Analytics, Shopify, Facebook Ads, and Salesforce. It can pull data from all these various platforms, centralize it, and organize it for analysis — including pushing it back to Google Sheets or a BI tool, in about an hour. This conversion can be done without the support of your engineering team.
Our all-in-one data analysis tool allows your company to retrieve, extract, organize, manage, and analyze the specific data points you want when you need it. Thanks to these data analysis services, your company has immediate access to the comprehensive, up-to-date data it needs to make informed decisions quickly and efficiently.
While converting data from siloed data points into centralized, analysis-ready data, is an easy process using our Mozart Data online tools, behind the scenes it’s actually a complex process that requires a comprehensive data architecture design.When pulling data from a variety of sources, you still need to understand your data lineage, or how all of the data gets to the transformed state for analysis. Mozart not only integrates with over 400 data sources — it uses a modern data architecture format that provides a visual data pipeline, which allows you to see the full data lineage as this data moves from its original storage point. The platform automatically infers data lineage when data is loaded into the data warehouse and visually displays how data sets are loaded, combined, and transformed.
This visual view of the data lineage also gives your teams the ability to quickly troubleshoot any issues, identify dependencies and recognize data architecture patterns. Best of all, this visualized data pipeline can help everyone better understand how the data ecosystem works and how your data is connected, even if they don’t have experience working with data. This benefit allows you to see which tables are dependent on a transform and which ones are source tables and you can see which tables data is being drawn from when building new tables.
Our data platform architecture design allows for the effective collection, transformation, usage, and distribution of data from its original collection point to visual reports, graphs, charts, and other analytical tools.
Our modern data analytics platform architecture helps to take all the maintenance off your plate. You no longer need to pull in the engineering team and wait for them to pull the data you need for analysis. Additionally, you don’t have to work on keeping up with APIs. Instead, our Mozart Data tools is designed to be a set-it and forget-it platform that only needs to be maintained when adding new data sources or starting a new data project. It really is that easy.
A data analysis platform consists of a collection of data analysis tools that are used to convert vast amounts of data into charts, graphs, reports, and other meaningful analytical data. To build an effective data analysis ecosystem with the power to transform data into meaningful output, you need to maximize the use of various data tools.
For instance, you need data analytics tools and techniques for collecting, organizing, managing, extracting, and analyzing this data — i.e. something like Mozart Data’s modern data stack. But, no data analytical platform would be complete without a robust business intelligence (BI) tool or some other tool for analysis. Tools like Tableau, Mode, and Metabase are great for analysis and data visualization. Google Sheets and Excel are also still commonly used at data-driven organizations and can be very powerful when the right data is pushed into them. The best data analysis software for your team will come down to your specific needs and priorities.
For this reason, our Mozart Data platform integrates with some of the top data analytics tools available, including all major BI tools and Google Sheets. For example, you can schedule data to sync into Google Sheets when you need up-to-date data, so anyone who is comfortable working in Sheers can perform analysis, even if they don’t have the experience yet to work directly in a modern data platform.
If you’re not currently using a BI tool or you are unhappy with your current options, we also offer a free BI tool, Metabase. Metabase tools allow you to easily obtain the robust business intelligence you need to maximize the use of data analytics.
The best data analytics software contributes to the company’s mission to develop and maintain a data-driven culture. Our Mozart tools allow you to easily combine data from various sources and maximize the value of your business intelligence tool to make sound business decisions, predict the future needs of the company, and to analyze the success of various strategies and campaigns.
To better understand how our Mozart Data software works, let’s look at how this platform helped one of our clients. LeanData, the revenue orchestration platform, was having difficulty managing and merging data from various sources. The client has experience working with data and knew it needed a comprehensive data infrastructure to obtain the data analytics it needed.
We set LeanData up with our platform, which was able to outperform their old data stack. With Mozart Data, the company was able to consolidate its data into one reliable, centralized location. They automated reporting and set about sharing vital information with more members of the team — even those with limited technical skills can use analytics dashboards to pull the data they need to make critical business assessments and decisions.
With their data infrastructure and data strategy in place, LeanData could prioritize monitoring the health of their sales pipelines, so managers can better adjust to drive revenue, while collaborating more often on data projects — all while saving time.
Our Mozart Data platform has helped dozens of clients better organize and manage their data to strengthen in-house collaboration, add value to their products or services, and achieve better business outcomes.
Want to learn more about our data analysis platform and how it can help your company? Contact Mozart Data.