Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

A personal crystal ball that predicts your days ahead is what financial services firms everywhere want. Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Because the data describing each transaction was in a database, this made it easy to retrieve and summarize multiple transactions together. This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry.

Insights: Using product analytics to find metrics that predict retention


Let me jump right in: With product analytics, customer retention isn’t just something you measure after the fact; it should be something you can learn to predict (and then improve). Simple: Product analytics tools have become super easy to set up and use.


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Customer Analytics: 6 Key Types Of Customer Analytics & How To Collect Data For Analyses?


How can you leverage customer analytics to drive product growth in your SaaS business? In this article, we’ll discuss the 6 different types of customer analytics and how you can collect data for each of them. What is customer analytics? Customer analytics categories.

AI+BI: Augmented analytics will soon bring data-driven insight to the masses

Birst BI

If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics. Machine learning has two imminent, profound implications for individuals and companies using BI and analytics applications. Some data discovery vendors tout that they already deliver “self-service to the masses,” but that’s a dubious claim.

Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Five years ago, data visualizations were a powerful way to differentiate a software application. Today, free visualizations seem to be everywhere. Two trends are forcing application providers to rethink how they offer analytics in their products.

How to influence with data and insights?

Piyanka Jain

Data can be a powerful tool if you know how to put it to work! Often I start my analytics conference keynote addresses by asking the audience to share the issues they face in their organizations. Why are they requesting that dashboard, analysis, or model?

Data Product Management: Using Data Insights to Drive Growth


What is data product management? Data product management is the discipline of collecting and analyzing data to develop and improve products. Data products are built around advanced data processing, AI, and machine learning. What is data product management?

How To Collect Data for Product Management Analytics and Act on It? [Best Tools Included]


Do you implement product management analytics from the onset of a product launch to understand user behavior and timely improve the product based on the findings? What metrics should you track to turn them into actionable insights? Ready to dive into product management analytics?

Key Product Dashboards Product Managers Need For Monitoring Product Health


How can product managers keep tabs on all the KPIs necessary to make informed product decisions without getting swamped with all the irrelevant data out there? The short answer is: with product dashboards! We also explore tools for building product dashboards and data analysis.

Saas analytics tools [Best 20+ SaaS Analytics Tools For 2021 – By Use Case]


Data is the engine for SaaS, but without data analytics tools , your SaaS team will not be able to make sense of the data. The right set of SaaS analytics tools can help you generate actionable insights that fuel strategic decisions.

Modern Data Architecture for Embedded Analytics

Data has gone from a mere result of applications & processes to being crowned king. Picking the right avenue to data architecture depends on your organization’s needs. Development teams should build in stages, starting with a task that can be solved.

How Predictive Analytics can add Value to Applications

Mind the Product

An increasing number of application teams are turning to predictive analytics as a source of competitive differentiation and additional value for end users. In fact, in a recent survey of 500 application teams that we ran, predictive analytics was the number one feature currently being added to product roadmaps. Why predictive analytics? Getting Started With Predictive Analytics. The Road to Predictive Analytics Doesn’t Have to be Complex.

Analytics - Google Free

The Product Bistro

As I drift further from Google properties, trying to rid myself of as much of their tentacles of control across the web, I made the decision to delete the Google Analytics tracking in my web properties. and its installation is as simple as Google analytics.

Customer Engagement Analytics: How To Collect Analytics Data and Increase Customer Engagement


Thinking of using customer engagement analytics to improve customer relationships and increase user engagement? There are four ways to collect customer engagement analytics data more effectively. What is customer engagement analytics?

FullStory Alternatives: Five Top Analytics Tools to Choose From

The Product Coalition

If you’re shopping around for a mobile app analytics platform before biting the bullet with Fullstory, you’ve landed in the right place. FullStory is a robust web and analytics tool but there are platforms out there that may specialize in one of the features you want.

How to Build Data Experiences for End Users

Organizational data literacy is often addressed, but it’s uncommon to consider users’ data literacy levels when building products. Product managers need to recognize their end users' data literacy when building an application with analytic features.

Product Analytics Tools 101: The Only Type Of Analytics Tools You Really Need As A Product Marketing Manager


Which product analytics tools should you be using? How many analytics tools do you need? And what type of analytics really matters for a product marketing manager? By the end, you'll know the only type of analytics tools you really need as a PMM.

How to influence with data and insights?

Piyanka Jain

Data can be a powerful tool if you know how to put it to work! Continue reading on Towards Data Science ». business data-science analytics data data-literacy

User Analytics for SaaS – The Ultimate Guide to Behavioural Analytics


Wondering how you can boost your product growth with user analytics for SaaS? User analytics tools provide valuable insights into user behavior, i.e., what users do inside your product and why they do it. What is user analytics? Google Analytics.

Crafting Visualizations Designathon

Modus Create

Our UX team noticed one such pattern: we are getting a lot of sales calls and clients that need visualizations of data. As companies are tracking more data, there is a growing need to better understand that data — and visualization is a critical tool to help.

Drive Better Decision-Making with Data Storytelling

Embedded Analytics can be the foundation of successful applications, and data storytelling is now critical for business today. It has become pivotal to drive decisions, generate actionable insights, and increase user adoption and stickiness.

Analytics For Product Managers: What to Track and How to Act Upon Data


Is there such a thing as analytics for product managers? Data analytics is a must for every team in a SaaS company if you want to make decisions based on data. Pendo provides in-depth analytics of user paths, funnels, and cohorts. What is product analytics?

Product Operations Dashboard

Product Management Lessons from the Trenches

You reach out to all department heads and request to get data for your analysis: Marketing team for data on campaign conversion, customer support for data on call volumes, account team for data on customers feedback, product data for usage, etc. I am sure we have all been in a situation like this at some point in our careers and can related to the frustration of not having access to data to make the right product decisions.

How to use SaaS analytics to reduce churn in 2022


Are you wondering how to effectively use SaaS analytics to reduce churn? You can collect heaps of data but they won’t be of any use if you don’t know what to do with them. SaaS analytics allow you to leverage the data to gain actionable insights and make informed decisions.

Flexible and secure Data-as-a-Service delivered today

Birst BI

How many duplicated, dirty data pipelines are running throughout your organization? Data-as-a-Service (DaaS) streamlines the chaos of ungoverned data pipelines and reporting silos created by users who are eager to use data, whether they are simple data inquiries from business analysts to more complex data questions from data science teams. DaaS is a core component of modern data architecture.

The Hitchhiker’s Guide to Embedded Analytics – 4 Mission-Critical Steps to Take on Your Analytics Journey

The right analytics capabilities will turn data into valuable insights for your end users. This research-based guide, derived from insights of industry professionals, will allow you to create an optimal strategy for acquiring those capabilities.

How to Analyse Qualitative Data: Methods, Steps, and Process


Wondering how to analyse qualitative data and get actionable insights? This article will help you analyse qualitative data and fuel your product growth. We’ll walk you through the following steps: 5 qualitative data analysis methods. Step 2: Data collection.

9 essential tools a data analyst should be familiar with


Microsoft pays Data Analysts $136,930/yr est. Cisco pays Data Analysts $135,398/yr est. Apple pays Data Analysts$131,564/yr est. IBM pays Data Analysts $111,504/yr est. Here are 9 Essential Tools for Data Analytics. Data analysts love R’s output.

Best user analytics tools for SaaS


When it comes to boosting your product growth , user analytics tools can make your life a lot easier. These tools offer insights into what your users are doing inside your product and why they are doing it. But how do you know you’re picking the right tools?

Effective customer engagement is business critical – insights from Harvard Business Review Analytic Services


New research from Harvard Business Review Analytic Services reveals that businesses of all sizes – from small businesses to enterprises – are realizing the business value of personal, efficient customer engagement. Below, we take a deeper dive into the report’s key data and trends.

Why Product Led Growth is a Customer Success Responsibility

Product Led Growth is fast become a leading business driver in the SaaS world. Find out why your organization should be implementing a product-led growth strategy today, and why customer success should lead it. Download this eBook to learn more!

10 Best Data Visualization Platforms for Product Managers

The Product Coalition

What is Data Visualization? More than just making numbers look pretty, data visualization is the graphical representation of information. Graphs, charts, maps, and tables are powerful communication tools, helping to make data more accessible.

Amplitude Analytics – Features and Alternatives


Amplitude Analytics is one of the most popular digital analytics tools for SaaS businesses. It offers valuable insights into user behavior to drive growth and enhance your user experience. But is Amplitude the right tool for your company? Setting data range.

Birst Smart Analytics: Using AI to Operationalize BI

Birst BI

How do you deliver more insights out to more people? Operationalizing BI and analytics – that is, putting the power of data in the hands of everyone across the enterprise, not just analysts and data scientists – has always been the mantra for Birst co-founder Brad Peters. That means much of the organization depends on a few experts to leverage data to make decisions. And data scientists may represent less than 1% of users in an organization.

KPI 65

Marketing Data Insights: How To Collect Data and Improve Customer Experience


Why are marketing data insights critical when making strategic business decisions? With marketing insights, product marketing teams can locate marketing channels that bring the most valuable customers. Product managers can use marketing data to improve customer experience.

Products for Product People: Best Practices in Analytics

Speaker: Andrew Wynn, Senior Product Manager, Looker

As a product manager, you know how helpful custom tailored data solutions can be to doing your job well. But proper data analytics solutions take work to deliver - it's not as simple as just building a dashboard. Who builds products for the product people?

Mobile App KPI Dashboard Examples and How to Use Them

The Product Coalition

Learn about the importance of mobile app KPI dashboards and copy dashboards from real mobile app product managers, engineers and designers. A key performance indicator (KPI) dashboard is a visual representation of data that quantifies how well a team is performing towards its goals.

KPI 99

How Data Lifecycle Management Applies to Product Analytics


Many organizations collect data, but not all effectively manage it throughout its lifecycle. And ad hoc data lifecycle management can cause problems for your product analytics. Well-organized data is essential for discovering actionable insights from product analytics.

Data democratization in product analytics—and how to get there


If you want to leverage data to generate great insights about how customers are using your product, getting that data into a product analytics platform like Mixpanel is a huge and important step. This is just as true in self-serve-friendly data tools like Mixpanel.

A practical guide to better dashboard design


A digital dashboard is a place where someone can view lots of data at once. If it’s done well, it helps users glean quick insights and informs data-based decisions. How to create a dashboard your users will love. Dashboards shouldn’t show everything at once.

How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Learn from data and analytics leaders at Verizon, Snowflake, EverQuote, and Affinity Federal Credit Union about how to foster a data literate culture while scaling data access and self-service analysis across your organization using a semantic layer.