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Use Embedded Analytics to Modernize Workflows

Sisense

Analytics are evolving: The first generation, which was very IT-driven, gave way to a more democratized, self-service paradigm. Users want personalized analytics where, when, and how it makes sense to them. How to lay the foundation for modern analytics success.

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How CTSI-Global Scales Their Embedded Analytics

Sisense

As part of our continuing tech investments, CTSI-Global decided to incorporate modern BI technology to help shippers perform advanced forecasting and modeling through elegant and robust visualizations on top of the centralized shipping data we aggregate. I had the responsibility of building the new analytics deployment from the ground up and scaling it to the mature and robust business intelligence solution that sets CTSI-Global apart today. Data Complexity.

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What’s the Big Deal With Embedded Analytics?

Sisense

Every company is a data company. In Embed to Win , we dig into the ways companies are evolving to include embedded analytics in their products as a market differentiator and revenue generator with stories from builders, product shots, and more.

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Automate Data Workflows with the New Sisense Data Model APIs

Sisense

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Introducing the Sisense Data Model APIs. You may be asking “What’s a Sisense Data Model, exactly?”

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. What is data modeling?

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Building Data Models to Empower Self-Service Users

Sisense

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. One of the keys to a successful, modern company is equipping every worker with the tools, skills, and data they need to do their jobs better and make smarter decisions.

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Delight Customers with Cutting-Edge NLQ Embedded in Your App

Sisense

Innovation means different things in different industries, but one common feature that many apps are gravitating toward is analytics. From ride-sharing and food delivery to running apps, language learning, and even subscription services, users want data. Building beyond basic embedding.

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An Expert Under the Hood: White-Label Reports and Dashboards

Sisense

Every company is becoming a data company. 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. Tomer Lapid is a Product Manager for Sisense analytics and reporting.

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Adding AI to Products: A High-Level Guide for Product Managers

Sisense

Doing it right can mean the difference between thriving in the new world of data and disappearing from it. Then tailor your approach to leverage your unique data and expertise to excel in those KPI areas. Better data, better AI, better products.

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Taming the Tech Stack: Leverage Your Existing Tech Stack Securely With an Analytics Layer

Insight Software

Analytics and data visualizations have the power to elevate a software product, making it a powerful tool that helps each user fulfill their mission more effectively. Adding world-class analytics to your application is easier said than done. Logi Analytics.

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Empower Users with JMESPath for JSON Queries

Sisense

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.

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Include Embedded BI into Your Business Applications!

Elegant BI

A recent survey found that 93% of application teams report improvement in user experience as a result of embedded analytics, and 94% of teams report improved customer satisfaction with embedded analytics. The concept of embedded BI is simple.

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Embedded BI with APIs: A Simple Path to OEM and ISV Success!

Elegant BI

The technology research and consulting firm, Gartner predicted that ‘By 2023, 60% of organizations will compose components from three or more analytics solutions to build business applications infused with analytics that connect insights to actions.’.

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Unleash the Power of Advanced Analytics with the Sisense Q4 2019 Release

Sisense

Data is the New Oil” was coined by The Economist in May 2017 and became a mantra for organizations to drive new wealth from data. But in reality, data by itself has no value. The rapid growth of data volumes has effectively outstripped our ability to process and analyze it.

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Must-Have AI Features for Your App

Sisense

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. It follows then that data scientists are suddenly integral to building embedded AI components.

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Three Ways to Personalize Analytics to Improve User Experience

Sisense

In this article, we’ll explore three ways you can build a more personalized analytics experience for your customers and end users. The right data visualization will take your custom analytics to the next level. Explore data vis libraries.

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OEM Architecture: What’s Right For Your Business?

Sisense

There’s no denying it: the OEM analytics market is huge. A trend now recognized by Gartner in their 2018 Critical Capabilities for Analytics and Business Intelligence Platforms report, more and more organizations see the value in providing their customers with analytics. White Labeling vs. Embedding. Here at Sisense, there are two relevant use cases for OEM platforms : white labeling or embedding. Option 1: Shared ElastiCubes with row-based data security.

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CMOs, It’s Time to Embrace Infusing Analytics into Workflows

Sisense

Marketing can be one of the most data-driven departments in a company, regardless of industry. That being said, not every marketing org is making the best use of the data at its disposal. A key mandate for CMOs is to drive analytics adoption across the marketing org.

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Experimenting to Win with Data

Sisense

When deploying analytics for your company or your customers, you can feel stuck between the twin poles of “What data is available?” Determining data goals, making a plan. Armed with data, he could advise companies on which facilities costs were good investments and which weren’t.

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Why CIOs Should Weave Data Fabrics Into Their Orgs

Domo

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs.

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Dark Data: How to Find It and What to Do with It

Timo Elliot

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Remember that dark data is the data you have but don’t understand. Data sense-making.

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Staff picks for Tableau Conference 2022 sessions

Tableau

Analytics for everyone: Explore new and existing innovations and smart analytical experiences, like predictive analytics, Tableau Business Science , and Tableau for the Enterprise , that make it easier for everyone in an organization to use data and analytics. .

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Staff picks for Tableau Conference 2022 sessions

Tableau

Analytics for everyone: Explore new and existing innovations and smart analytical experiences, like predictive analytics, Tableau Business Science , and Tableau for the Enterprise , that make it easier for everyone in an organization to use data and analytics. .

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The Rise of the Data Team

Sisense

Implementing analytics at your company is a multi-team job. Here, we focus on the role of the data team in successfully applying advanced analytics and ensuring that you get the most from your data to make your organization truly data-driven.

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Sisense Q1 2021 Release: Infuse Customized Intelligence at Scale

Sisense

In Gartner’s Top 10 Data and Analytics Trends for 2021, trend No. The Sisense Fusion platform embodies this idea, empowering every user to embrace analytics via actionable intelligence delivered directly to them where they spend their time.

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Sisense and Google Cloud: Driving Innovation and Digital Transformation Together

Sisense

The movement of data from on-premise systems to the cloud is imperative; the cloud market is nearly $250B and is growing quickly. Many businesses are discovering that analytics are essential to help businesses survive, and we all live under a cloud of uncertainty.

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Build Analytics, Build the Future

Sisense

This desire absolutely weighs heavily on the minds of the people who work with business intelligence and analytics platforms. We believe it’s important to recognize this desire and empower our users with a platform to build and create a future with data that inspires them. When data was simple, producing insights from data was too. However, as data has become more complex, the demands of data have also become more complex. The drive to build is innate.

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Modernize Your ETL Processes, Discover Better Insights

Sisense

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive.

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Transforming Big Data into Actionable Intelligence

Sisense

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly.

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Building Bridges — Best Practices for BI Teams Working with Data Teams

Sisense

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. Data Team: Sure. The former are data experts.