Sisense

JUNE 18, 2020

In Managing Up , we give product managers and their teams actionable guidance on how to build, test, and release programs that will delight users and stand the test of time. should be reflected across the application (in the core offering and the analytics), just like the rest of the brand’s properties. Simple UI is good UI.

Embedded Analytics 88

Embedded Analytics Visualization User Experience Innovation 88

Sisense

OCTOBER 3, 2021

This edition of “This Month in Embedded Analytics” is big on health and wellness. Finally, dig into G2 Crowd’s newest fall research and see where the top data and analytics companies stack up. Finally, dig into G2 Crowd’s newest fall research and see where the top data and analytics companies stack up. Let’s jump in! >>>

Embedded Analytics 52

Embedded Analytics Healthcare Pharmaceutical Innovation 52

Sisense

JUNE 10, 2020

In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. To build and execute a successful data monetization strategy, you need two essential assets.

Embedded Analytics 87

Embedded Analytics Innovation Planning Agile 87

Domo

JANUARY 10, 2022

Moving from traditional, out-of-the-box data and analytics tools to a modern BI platform not only allows you to get better reports and dashboards, but gain a new competitive advantage. We’re (building this portal) to strengthen relationships and to make sure that the entire process of developing a property deal goes smoothly.”

Embedded Analytics 98

Embedded Analytics Business Intelligence Business Intelligence 98

Domo

APRIL 20, 2022

That means BI needs to be augmented by artificial intelligence, personalized in a way it’s never been before, adaptive to a business climate that moves and changes on a dime, and “scaled across the entire enterprise and embedded in all of the systems of work,” he said. Sharing information is not a new idea, of course.

Embedded Analytics 98

Embedded Analytics Chief Data Officer Logistics Artificial Intelligence 98

Sisense

SEPTEMBER 9, 2020

Developing analytic apps is a bold new direction for product teams. The Toolbox is where we talk development best practices, tips, tricks, and success stories to help you build the future of analytics and empower your users with the insights and actions they need. Maximizing the largest interface with developers.

Documentation 86

Documentation Customer Experience Customer Experience Embedded Analytics 86

Sisense

JANUARY 6, 2021

Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time. Every company is working toward harnessing data and analytics in its own way in order to stay relevant in a changing business world. Exploring white-label dashboards.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Domo

MAY 12, 2022

The Domo platform possesses all those traits, which is why it’s so easy for all types of users—even less technical ones—to build, test, and deploy fully customized business applications to fit any business need. Building simple-yet-scalable applications requires the same thing a house does: a foundation. Meet the Domo App Framework.

Embedded Analytics 52

Embedded Analytics Documentation Government Innovation 52

Sisense

JULY 27, 2021

America’s pastime has been all about data since the first box scores were written down, but modern analytics are changing how pitchers and hitters interact. That’s the true power of embedded analytics: giving people the information they need to take the right action at the right time, on the field or anywhere else in life.

Embedded Analytics 52

Embedded Analytics Data Security Retail User Experience 52

Sisense

OCTOBER 21, 2020

As a member of the data team, your role is complex and multifaceted, but one important way you support your colleagues across the company is by building and maintaining data models. Let’s dig into how we can build better data models to support this broad user base and why that’s so important in the world of big data we’re living in.

Data Modelling 71

Data Modelling Embedded Analytics Design Thinking Big Data 71

Sisense

OCTOBER 6, 2020

In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. Pricing is another important aspect of selling your analytic app.

Embedded Analytics 78

Embedded Analytics Data Visualization Government Visualization 78

Sisense

JULY 31, 2019

As a Lead Analytics Developer working on Luzern’s Platform, I spend a good amount of time building and turning KPIs into meaningful visualizations that our clients use to connect and drive marketplace sales on Amazon. We also put up analytics on TV screens across the office and fulfillment floor to have an immediate feedback loop.

Embedded Analytics 70

Embedded Analytics User Experience Visualization Data Visualization 70

Sisense

SEPTEMBER 30, 2020

Developing analytic apps is a bold new direction for product teams. The Toolbox is where we talk development best practices, tips, tricks, and success stories to help you build the future of analytics and empower your users with the insights and actions they need. Building instead of buying.

Documentation 52

Documentation Embedded Analytics User Experience Visualization 52

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. Enhanced Analytics:  The transformation stage in the ETL process converts raw, unstructured data into structured, analyzable formats. What is Reverse ETL?

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. This can be as easy as splitting name and surname with space or as complex as building an equation to predict customer churn in the next quarter. Data Analytics.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Monday

DECEMBER 29, 2020

For a complete guide to Gantt charts, including a history, their key components, use cases, and alternatives, check out the aptly named blog post, “ Everything You Want to Know About Gantt Charts.” To build Gantt charts on monday.com, you’ll use our dynamic Table view to create all the necessary fields. Instagantt.

Project Management 52

Project Management Planning Documentation Agile 52

Monday

DECEMBER 29, 2020

For a complete guide to Gantt charts, including a history, their key components, use cases, and alternatives, check out the aptly named blog post, “ Everything You Want to Know About Gantt Charts.” To build Gantt charts on monday.com, you’ll use our dynamic Table view to create all the necessary fields. Instagantt.

Project Management 52

Project Management Planning Documentation Agile 52

Sisense

AUGUST 19, 2021

Every company is becoming a data company, and the ability to harness data and analytics separates industry leaders from the rest of the pack. Savvy product leaders know they need to equip their users with robust insights derived from analyzed data, but building these features from scratch can be a daunting undertaking.

Embedded Analytics 98

Embedded Analytics Vision User Experience Data Analytics 98

Sisense

JUNE 5, 2020

In Managing Up , we give product managers and their teams actionable guidance on how to build, test, and release programs that will delight users and stand the test of time. That’s where an embedded analytics solution can help. Embedded analytics: Driving product differentiation.

Embedded Analytics 89

Embedded Analytics Retail Supply Chain Cloud Computing 89

Sisense

SEPTEMBER 8, 2021

Data mining and analytics tools previously used for commercial data are being applied to medical data in various forms. Companies building software for medical professionals can greatly enhance their offerings by buying a robust analytics platform and embedding it in their core product. Simplify it.

Embedded Analytics 52

Embedded Analytics Healthcare Data Mining Government 52

Sisense

DECEMBER 12, 2019

Building a data-driven business includes choosing the right software and implementing best practices around its use. Our Business Perspectives help you make smarter decisions no matter where you are in your analytics journey. Should external audiences also have access to your generated reports or maybe embedded analytics?

Business Intelligence 88

Business Intelligence Business Intelligence Embedded Analytics Visualization 88

Sisense

AUGUST 30, 2021

Another month, another round of stories about why embedding analytics into your offering and internal workflows is the key to evolving your business — no matter what business you’re in. >>>Get the full value of embedded analytics for customers and for your business. The NFL goes long on data and analytics.

Embedded Analytics 52

Embedded Analytics User Experience Data Visualization Business Intelligence 52

Sisense

DECEMBER 15, 2019

Building a data-driven business includes choosing the right software and implementing best practices around its use. Our Business Perspectives help you make smarter decisions no matter where you are in your analytics journey. Building analytics today to change tomorrow. Beyond AWS: niche clouds for every market.

E-Commerce 90

E-Commerce Retail User Experience Documentation 90

Sisense

JULY 29, 2021

Whether they’re thinking about it now or not, all startups should be looking for innovative ways to integrate data and analytics into their products, services, and experiences. Here are five embedded analytics use cases where startup companies with fewer than 200 employees are using data in apps to fast-track their growth. >>>Embed

Embedded Analytics 52

Embedded Analytics Banking Vision Innovation 52

Sisense

SEPTEMBER 25, 2020

In Next-Level Moves , we dig into the ways advanced analytics are paving the way for the next wave of innovation. Mastering statistical techniques and knowing how to implement them via a programming language are essential building blocks for advanced analytics. Statistics and programming go hand in hand. Linear regression.

Logistics 98

Logistics Documentation E-Commerce Cloud Computing 98

Sisense

JANUARY 21, 2021

Implementing analytics at your company is a multi-team job. In Building Bridges , we focus on helping end users, app builders, and data experts select and roll out analytics platforms easily and efficiently. Step #1: Proving the value of analytics for customers. Plot the expected ROI of an embedded analytics offering.

Embedded Analytics 95

Embedded Analytics Product Management Product Management Visualization 95

Sisense

MARCH 4, 2020

Hamza Jap-Tjong is the CEO of Gerimedica Inzicht, the analytics subsidiary of a SaaS company focused on delivering the best software and service for healthcare professionals in the eldercare sector. Building the future of healthcare with data. Today, every industry is data-driven.

Healthcare 94

Healthcare Digital Transformation Government Big Data 94

Sisense

DECEMBER 13, 2021

In this post, we’ll explore some key practical applications of data analytics for financial institutions, and showcase the power of insights gleaned from business intelligence solutions. To address these common pain points around data analysis, we partnered with Sisense to develop an embedded business intelligence platform, Narmi Analytics.

Banking 59

Banking Business Intelligence Business Intelligence Digital 59

Sisense

JULY 13, 2021

One of the most powerful ways for your organization to get a competitive edge is to embed analytics, because it enables you to go beyond improving internal efficiencies with data. Nevertheless, it’s often still a big challenge to get the buy-in to fund it and deploy it. Why is it so hard to get buy-in, and what to do about it?

Embedded Analytics 94

Embedded Analytics Innovation Data Visualization Product Management 94

Data Pine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Sisense

SEPTEMBER 3, 2020

Implementing analytics at your company is a multi-team job. In Building Bridges , we focus on helping end-users, app builders, and data experts select and roll out analytics platforms easily and efficiently. Rolling out a new platform involves everyone who’ll implement, maintain, and most heavily use such a platform.

Government 105

Government Visualization Embedded Analytics Agile 105