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SaaS BI marketing

6 Tips for Communicating BI Value to SaaS Customers

It’s hard enough writing positioning statements and messaging briefs for a SaaS product you know like the back of your hand — where are you supposed to start when your company throws a third-party solution into the mix? Data analytics is becoming an increasingly common requirement for SaaS offerings. Customers…

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automatic data models

Data Models That Build Themselves

Self-service BI is about bridging the knowledge gap that has historically separated business professionals from their data. It’s about doing away with intimate knowledge of information systems as a prerequisite for finding out last quarter’s growth margin. And when it comes to replacing SQL statements with friendly drag-and-drop graphical elements,…

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business intelligence rollout

Recommendations for a Phased BI Rollout

One of the top challenges enterprises face in deploying business intelligence solutions is lack of resources. With other high-priority projects going on, it can be hard for teams to bring their ideal BI implementations to fruition on deadline. Something’s got to give, and sometimes that something is the deadline, but…

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BI Implementation Challenges

Top 3 BI Implementation Challenges

With all the resources companies pour into finding the right business intelligence solution, it might come as a surprise that the most prevalent roadblocks to implementation actually arise from within those enterprises rather than the solutions they adopt. An ongoing survey conducted by the Business Application Research Center (BARC) lists…

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Exago No-Code ETL

Decision Tree: Is Exago ETL Right For You?

Figuring out how to prepare your data for analytics can be tricky. Should you do it all in programmatic data objects like views and stored procedures? Should you hire someone to hand-code your data warehouse or rely on a consultant? What about all the ETL solutions out there? We’re big…

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calculating saas kpis

The Right Way to Calculate 3 Critical SaaS KPIs

Data Talks, Episode 16 Data Talks is Exago’s podcast on all-things business intelligence, analytics, and application software. Did you know there are 43 different ways to calculate churn? This month, we get some much-needed guidance from CloudKPI co-founder Maeve Kneafsey on counting customers, measuring churn, and calculating customer acquisition cost…

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data cubes

Think Outside the Cube

These days, most SaaS providers embedding BI in their applications recognize they also need some kind of ETL. (Check out this infographic if you aren’t sure what ETL is). In response, many BI platforms are coming up with their own proprietary data preparation solutions. Some have chosen to use multidimensional…

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self-service data preparation

Safeguarding Against the Risks of Self-Service Data Preparation

Let me be the first to acknowledge that agility is important. BI products should be predicated on the idea that end users should have direct control over their own data. I believe that it’s better for business professionals to answer their own analytical questions than to inundate IT staff with…

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data quality audit

Using BI to Audit Data Quality

Data Talks, Episode 15 Data Talks is Exago’s podcast on all-things business intelligence, analytics, and application software. When most people think of BI, they think about extracting insights from their data, not about their data. This month, George Firican explains why BI can be a surprisingly effective tool in data…

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assessing data veracity

Assessing Data Veracity

There are different takes on what veracity refers to, but the overall consensus is that data veracity reflects the truthfulness of a data set and your level of confidence or trust in it. I’ll take this a step further and say that data veracity is your level of confidence/trust in…

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