As you work to build a ,modern data stack for your business, you may have heard that data transformation tools or a data transformation layer could help you work more efficiently with your data sets and better prepare them for analysis. This is true. A data transformation layer is an important component of a modern data stack. It enables a business to automate the validation and cleansing of data before it is used downstream, such as with a business intelligence tool. In this article, we’ll explain how a data transformation layer works within a modern data stack, the best data transformation t ..read more

Almost every startup wants to be data-driven, but it can be difficult to decide where to start. Startups wonder if they’re ,ready for data infrastructure and if they are, what their next steps should be. Should they seek out tools to solve specific problems? For example, if the most pressing data question involves marketing campaigns, marketing-oriented solutions will have some obvious appeal. But, those tools aren’t intended to grow with a company as more teams encounter data needs. Sooner or later there are problems they can’t help solve. A data warehouse is a foundational data piece that ca ..read more

Business leaders generally recognize the importance of data and its impact on the effectiveness and efficiency of their operations. However, the existence of information silos, coupled with the increasingly complex service stack businesses use, have made it difficult to achieve a truly holistic view of business data. This means that executives are usually aware of business data only in a specific context, and without a complete understanding of how that data affects the rest of the business. For business leaders who want a nuanced understanding of the ins and outs of their operation, data obse ..read more

When you onboard a new product to help your business solve a problem, it’s common to move on to new priorities as soon as those initial challenges are overcome — even if there’s more value to be extracted from the shiny new tool. This “good enough” mentality is particularly common for start-ups, and there are times that approach is necessary. We know we aren’t immune to that temptation. But moving past that good enough approach can be incredibly beneficial when features that can help users save time and work more effectively exist. In the context of the modern data stack or modern data platfo ..read more

Customer-Facing Dashboards Are Expensive to Implement with Ongoing Maintenance Costs Most SaaS companies need to build customer-facing dashboards at some point. You invest in creating a solid data infrastructure, maybe even using a platform like ,Mozart Data, and breathe a sigh of relief because the “hard” part is taken care of. Then management asks your product team to fit embedded analytics into the roadmap, and a card for "customer dashboard" is added to your backlog without much thought. As a tech lead, you pull the card from the backlog and hastily put together a design doc after pinging ..read more

All marketers have access to some level of data reporting — but that doesn’t mean they know what to do with it. At Glamnetic, they do. ,In a recent conversation with Mozart Data co-founder Peter Fishman, Glamnetic’s Head of Growth, Margaret Fortner, shared her most valuable data-driven marketing lessons, including which metrics to live by and why the right data tools are so critical to success. Current state of performance marketing As questions about the U.S. economy loom, particularly regarding inflation and the jobs market, companies are questioning how they can best invest their marketing ..read more

What is data security and privacy? Data security is the practice of protecting sensitive data from unauthorized access, malicious attacks, or exploitation of data in any other forms. The security aspect makes sure that bad actors cannot infiltrate databases and systems to access or manipulate the data. Data privacy, therefore, is achieved when proper security measures are in place as bad actors will not be able to see, use, or otherwise access the sensitive data in any way. Data security is based on three foundational principles, also called the “CIA triad:”: Confidentiality How do you know ..read more

We’ve written previous posts in this series on ,measuring what matters in a down market and ,using data, not moving data. It’s important to understand the key metrics you should be focusing on, and how to get your analytics personnel directly involved in the business, so everyone is pulling in the same direction. If your organization is aligned on those needs, it’s time to take action with data. Create a data-driven culture Our advice in the last piece was focused on getting your analytics personnel involved. Aside from getting what you paid for from some of your most expensive personnel, it ..read more

Creating a data pipeline for the first time can be daunting, but the look and feel of a product can make this process easier and faster. This is why we recently redesigned our modern data platform, and it’s been making a positive impact on our customers already: “The fonts and colors are so pleasing to the eye. Man! If I go to another company where I get to shape [our data tooling], I will use Mozart again.” “New UI looks slick, very well done.” Here’s a look at the behind-the-scenes process from our designer, Shing-Yun Chiang, and our lead front-end engineer, John Setzer. What were we trying ..read more

To populate your data warehouse with accurate and actionable data, you first need to extract that data from the applications where it originates. That’s why a data extraction tool is a critical piece of your ,data stack. The best data extraction tools offer seamless integration with your most critical business applications, from your marketing platform and CRM to social media and eCommerce platforms. Here are some of the best data extraction tools you can use for your business. Fivetran ,Fivetran is an industry leader for good reason. The breadth of data connectors that Fivetran offers covers ..read more