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
To get the most out of your data, you need a data platform. A data platform is a collection of tools that enable you to ingest, process, and analyze all the data being generated by your various systems. Extracting insights from data from just a single system can be done fairly easily. However, when you’re dealing with multiple systems and processes, the need for a comprehensive data platform solution becomes apparent.
For many organizations, this need for a data platform presents a major obstacle. In the past, you typically needed expensive engineering work to move data from your siloed sources to a central location, like a cloud data warehouse. Even entirely online tooling required a great deal of manual work to set up and maintain, leaving data platforms out of reach for many companies, let alone startups and smaller organizations.
But, the insights that can come from data analysis are too valuable to be left on the table. Fortunately, there is another solution; the all-in-one modern data platform, sometimes known as a data platform as a service (DPaaS). A DPaaS empowers anyone to get the most out of their data without engineering knowledge and far fewer technical resources. With an all-in-one product like Mozart Data’s platform, organizations can get access to all the analytical power of a data platform without having to invest in setting up or maintaining their own data infrastructure.
If your organization already relies on data warehouses or some other similar solution, you might think you don’t need a data platform. However, this is not the case. Although data warehouses are essential for data analysis and aggregation, even with a good ETL tool it’s difficult to perform impactful analysis and break down communication walls between different teams. A data platform can help not just create a single source of truth, but also manage the entire pipeline and democratize data. This enables all of your team members to quickly and easily extract insights from your data.
Data, like gold or oil, is the new commodity businesses are fixated on. Everyone is “mining for insights” and “refining their data” to find a competitive advantage. Organizations that fail to seize the opportunity of insights-driven decision-making will be left behind by competitors. With data analysis, you can uncover hidden opportunities to innovate new products, connect with an unreached customer base, or increase the efficiency of your business processes.
Data storage and analysis are just as crucial for a smaller company as for a larger one, and a data platform like Mozart is especially beneficial for a company that doesn’t have a large data team because our solution simplifies the data analysis process.
Modern data platforms provide you access to a suite of solutions and products that enable you to accomplish the very best data analysis. Data storage and analysis are more straightforward, more uncomplicated, and less complicated when you have modern solutions made available from platforms like Mozart. With Mozart, you can decrease the time to insight by 76% and tap into a 30% cost savings compared to trying to build and deploy your own data stack. Mozart also offers a free business intelligence tool.
A business data platform works by combining different sets of data from different sources and storing them. Your social media platforms, payment processing systems, CRM platforms, etc. are all accumulating data constantly. Individually each piece of data at each data source only goes so far. This is where the platform comes in. By centralizing this data and organizing it for analysis, you and your team can extract actionable intelligence from the big picture.
This makes data analysis faster and far more effective. For a marketing and revenue example, consider the benefits of combining data from an ad platform with payments data and account info in a tool like Salesforce. Now you can not just see which campaigns delivered more sales, but which campaigns or segments of users are more likely to make larger or repeat purchases. Now you have a better idea of not just customer acquisition cost (CAC), but also customer lifetime value (LTV or CLTV).
Data platforms make data gathering and data cleaning a smoother task, freeing up more time for users to be able to focus more on analyzing the data. Companies that take advantage of this technology have discovered how much easier data strategy is with this method.
What is data strategy? Data strategy is a company’s long-term plan for storing, analyzing, organizing, and using data. Most modern companies need an effective data strategy. Coming back to the example above, companies are able to plan their marketing strategies better when they have access to the data they need, know the questions they would like to ask, and are able to effectively analyze that data. Data becomes much more valuable when the experts at your company have the tools to interpret it.
Mozart has assembled a collection of tools and capabilities that instantly provide you with access to a powerful data platform. This means that users and organizations don’t need to spend valuable time and money searching for tools and piecing them together individually.
There are many data platform companies. However, a data platform service like Mozart’s is also very different from a customer data platform (CDP), which is a marketing tool with a narrower focus. CDPs were initially developed as a way to facilitate market research and gather insights into customer interactions with a business. However, CDPs could be more effective for several reasons. For one, the data from a CDP is limited to only past customers, limiting insights that could be gathered from a larger sample size and a broader range of data. For another, a CDP also stores data in an unstructured format. This can make it difficult to quickly update your data and visualize it. For these reasons, many believe the CDP to be a system of the past. Mozart isn’t ready to say that CDPs don’t have value, but we think that our platform is on average more useful than running with just a CDP because of the broader capabilities.
Instead of just focusing on customer data or marketing insights, Mozart enables you to collect data on all processes and interactions that are critical to your business. Our solution combines different tools to deliver you the features you need to grow your business and achieve intelligent innovation. With Mozart, you can check the quality of your data and find and fix the errors right away. You’ll receive alerts if there are any issues, helping you find problems faster. Plus, thanks to Mozart’s suite of powerful automation features, you can save money and time by not having to rely on expensive data engineers.
Most companies want to store, organize, and analyze their data so they can identify strategies to set themselves apart from their competitors and achieve greater growth. Mozart is a ground-breaking modern data platform that allows you to gather, store, organize, and analyze your company’s data.
One of the best data platform examples is Mozart. Mozart enables you to connect your data sources in minutes without having to program your own integrations or export massive CSVs of data. Then, once your data sources have been connected, Mozart centralizes your data using a Snowflake data warehouse. At this point, your data has been aggregated, but it still needs to be prepared for analysis. Mozart provides automated data prep so that your insights are powered by clean and up-to-date data. Finally, Mozart automatically pushes this aggregated, cleaned data to your preferred business intelligence (BI) tool or spreadsheets. As you can see, Mozart provides an all-in-one data platform solution for your business.
The software development industry is undergoing a revolution. Instead of having to invest in expensive, local infrastructure with limited scalability, companies now have the opportunity to invest in cloud-based options for a wide range of software solutions. This has given rise to the “as-a-service” acronyms. Data as a service (DaaS) delivers data storage, integration, and analytics applications to end-users over a network connection rather than having them run on local systems. This is far more scalable and enables users with standard hardware and software to run analyses on massive data sets without having to invest in ultra-powerful hardware. As a cloud-based solution for integrating and analyzing data, Mozart is an excellent example of a DaaS solution. In addition to scalability, the benefits of DaaS options are numerous. These include:
There are significant differences between data platforms and databases. A database is an excellent way to organize and store information about a specific system. However, a single database would quickly become far too complex if you tried to combine your data systems into it. By contrast, a data warehouse stores data for a variety of different systems and aggregates it for analysis. A data platform like Mozart combines a data warehouse and all the other data tools you need to collect and analyze your data.
Snowflake is the leading brand when it comes to data warehousing and analytics. Mozart is powered by Snowflake to support better data analysis. Snowflake is very secure and supports standard SQL, so your data teams won’t need to learn any new programming language. Many of our customers don’t have a traditional data background but instead have learned SQL so they can bring the power of a data platform to teams like RevOps, marketing, finance, customer success, and more.
Querying a production database is a slow method of gathering and analyzing data. A data warehouse designed to handle large volumes of data enables you to query information far faster. Furthermore, although Mozart gives you access to a data warehouse, you will still own your own data. If you ever decide to move off of the Mozart data platform, you can take your data with you.
Siloed data is holding your organization back. With Mozart, you can break down the barriers between data sources and provide a single source of truth for every member of your organization.