Tableau

APRIL 20, 2022

Tableau Economy: Welcome to the Tableau Economy: where customers get faster time to value and revenue growth; partners serve our global customer base and grow their businesses; and data people can grow their careers with Tableau skills. Look for sessions on the Tableau Exchange , the Tableau Developer Platform , and Embedded Analytics. .

Chief Data Officer 123

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 123

Sisense

DECEMBER 3, 2019

The Elastic Data Hub delivers unique and highly differentiated options for data teams to simplify complex data and power analytical apps. Unleash the power of advanced analytics. In addition, you can deploy and operationalize your own machine learning models to all users by uploading custom Python.

Embedded Analytics 90

Embedded Analytics Data Warehouse Digital Transformation Digital 90

Sisense

MARCH 31, 2020

Tools of the Trade is your destination for data and analytics skill building: From dashboards and reports to embedding analytics and building custom analytic apps to SQL secrets and data deep-dives, whatever you need to know to be better at your job, you can find it here. Dig into how we did it here.

Embedded Analytics 52

Embedded Analytics Data Modelling Visualization User Experience 52

Tableau

APRIL 20, 2022

Tableau Economy: Welcome to the Tableau Economy: where customers get faster time to value and revenue growth; partners serve our global customer base and grow their businesses; and data people can grow their careers with Tableau skills. Look for sessions on the Tableau Exchange , the Tableau Developer Platform , and Embedded Analytics. .

Chief Data Officer 98

Chief Data Officer Embedded Analytics Predictive Analytics Product Management 98

ElegantJ BI

JUNE 1, 2022

Simple Administration and Management The integrated augmented analytics approach includes simple tenant management to deploy with a shared data model for single-tenant mode or an isolated data model for multi-tenant mode and software as a service (SaaS) applications.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

ElegantJ BI

JUNE 1, 2022

Simple Administration and Management The integrated augmented analytics approach includes simple tenant management to deploy with a shared data model for single-tenant mode or an isolated data model for multi-tenant mode and software as a service (SaaS) applications.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

ElegantJ BI

JUNE 1, 2022

The integrated augmented analytics approach includes simple tenant management to deploy with a shared data model for single-tenant mode or an isolated data model for multi-tenant mode and software as a service (SaaS) applications.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

Sisense

APRIL 16, 2019

They are not necessarily aware that the analytics server they are accessing is actually a Sisense server. In the embedded use-case, our customers have their own web application and embed Sisense within it. Widgets can also be embedded within web pages using the SisenseJS infrastructure. Option 2: Dedicated ElastiCube per tenant.

Embedded Analytics 74

Embedded Analytics Data Modelling Data Security Change Management 74

Sisense

OCTOBER 14, 2020

Today, data teams form a foundational element of startups and are an increasingly prominent part of growing existing businesses because they are instrumental in helping their companies analyze the huge volumes of data that they must deal with. Everyone wins!

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

Sisense

APRIL 29, 2021

If you are infusing analytics into an application where you enable the user to select their own themes, then you want to ensure that your entire application caters to their preferences, including embedded analytics. Make in-depth personalization a snap for your dev team and evolve your application and your business.

User Experience 52

User Experience Embedded Analytics Visualization Data Visualization 52

Sisense

JULY 8, 2020

Many cloud data warehouses offer compute scaling that allows for dynamic scaling when needs spike. This allows data teams to still see scalable performance while holding increased numbers of computationally expensive data models and ingesting more large data sources.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Sisense

MARCH 30, 2021

Assign your Themes to groups individually (manageable via REST APIs too) or dynamically update themes in embedded dashboards and widgets through iFrames, Embed SDK, or Sisense.JS for a custom, integrated embedded analytics solution. Advanced data transformation with Custom Code. Enhanced live model connection parameters.

Embedded Analytics 52

Embedded Analytics Data Warehouse Data Modelling Innovation 52

Domo

DECEMBER 1, 2023

SILICON SLOPES, Utah — Today Domo (Nasdaq: DOMO) announced it has been recognized in several 2023 Ventana Research Buyers Guides, including being named as an Overall Leader in the Buyers Guide for Collaborative Analytics.

Embedded Analytics 52

Embedded Analytics Customer Experience Customer Experience Vision 52

Domo

OCTOBER 22, 2021

Such an offering can also simplify and integrate data management on a massive scale—whether that data lives on premises or in cloud environments—and be used to develop an enterprise-wide data modeling process.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Sisense

JANUARY 6, 2021

The result is a customer experience that meshes perfectly with the needs of Tessitura’s clients in the arts and culture marketplace, providing powerful and flexible data modeling presented and branded as Tessitura components with AI mechanics provided by Sisense under the hood. Horsepower under the hood.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Sisense

AUGUST 6, 2020

When building your data model, it’s vital to avoid both underfitting and overfitting. Although AI product managers may not be involved at the level of algorithm development, they can benefit from recognizing the symptoms of overfitting in the behavior of the model under development. The perfect fit.

Product Management 95

Product Management Product Management Customer Experience Customer Experience 95

Sisense

MARCH 14, 2021

Edge computing analytics (like the kind platforms like Sisense can perform) generate actionable insights at the point of data creation (the IoT device/sensor) rather than collecting the data, sending it elsewhere for analysis, then transmitting surfaced intelligence into embedded analytics solutions (eg.

Big Data 52

Big Data Data Analytics Data Analytics Supply Chain 52

Sisense

AUGUST 14, 2020

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.

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

Sisense

FEBRUARY 23, 2021

Applying data to goals. After engaging end users about their goals, it’s time to shape data models based on their responses. Later, Vincent adds, “we’ll do another study to validate that the changes that they’ve made have resulted in the expected results they were aiming for.”.

Visualization 52

Visualization Data Modelling Monitoring Planning 52

Sisense

AUGUST 6, 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.

Documentation 52

Documentation Embedded Analytics Data Modelling 52

Sisense

OCTOBER 28, 2019

Gerimedica empowers healthcare providers by embedding analytics into its product. Data engineers need to be able to automate data workflows and empower business users with analytics built from one data model.

Healthcare 63

Healthcare Embedded Analytics Data Discovery Government 63

ElegantJ BI

MARCH 16, 2022

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. Deploy anywhere! There are no environmental dependencies.

Embedded Analytics 130

Embedded Analytics Data Modelling Data Warehouse Data Architecture 130

ElegantJ BI

MARCH 16, 2022

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. Deploy anywhere! There are no environmental dependencies.

Embedded Analytics 130

Embedded Analytics Data Modelling Data Warehouse Data Architecture 130

ElegantJ BI

MARCH 16, 2022

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. Deploy anywhere! There are no environmental dependencies.

Embedded Analytics 130

Embedded Analytics Data Modelling Data Warehouse Data Architecture 130

Sisense

NOVEMBER 5, 2021

Radial delivers a modern analytics experience with Sisense. Bringing all the data together in one place is vital, but even the most groundbreaking insights are worthless if people won’t actually use the analytics you’ve built for them. Actionable intelligence empowers users.

Embedded Analytics 52

Embedded Analytics Data Warehouse Innovation Data Governance 52

Sisense

SEPTEMBER 17, 2020

If your application doesn’t already deliver embedded insights, then you’re not just missing out on an opportunity to delight customers and create additional revenue and growth for your company, you’re putting your company’s continued success at risk. Building beyond basic embedding. Choose your own embedded NLQ design strategy.

Embedded Analytics 98

Embedded Analytics Innovation Data Modelling Visualization 98

Sisense

MAY 21, 2020

By up-leveling the platform’s embedded analytics solution with Sisense and Google BigQuery, both internal teams and Trax customers are seeing benefits in query performance and ease of use.

Digital Transformation 98

Digital Transformation Innovation Digital Retail 98

Astera

AUGUST 28, 2024

Pros Robust integration with other Microsoft applications and services Support for advanced analytics techniques like automated machine learning (AutoML) and predictive modeling Microsoft offers a free version with basic features and scalable pricing options to suit organizational needs. Offers a limited experience with Mac OS.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40

Sisense

SEPTEMBER 3, 2020

It’s important that the analytics and BI team clearly indicate their needs and that the data team understand what the BI platform will be used for and how they can build the right data model(s) to suit the analytics and BI team’s requirements.

Visualization 105

Visualization Government Embedded Analytics Agile 105

Sisense

JUNE 15, 2021

With a robust data model built using data from their disparate datasets, they had a full-spectrum view into how their marketing efforts were performing in different parts of the world, as well as which games were more popular where.

Vision 52

Vision Customer Experience Customer Experience Data Modelling 52

Insight Software

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

APRIL 12, 2024

By providing these tools, your users can transform their raw data into actionable intelligence, driving data-driven business decisions. This technology tackles the traditional data overload by integrating analytical tools directly within your users’ workflow. However, building this feature in-house wasn’t feasible.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance Predictive Analytics 52

Insight Software

SEPTEMBER 1, 2023

This highlights the importance of building or buying a predictive analytics tool that focuses on security, monitoring and transparent communication to effectively manage the potential downsides of incorporating predictive analytics into an application. Should You Build or Buy Your Predictive Analytics Solution?

Predictive Analytics 52

Predictive Analytics IBM Support IBM Maintenance Embedded Analytics 52

Insight Software

OCTOBER 24, 2022

Application Imperative: How Next-Gen Embedded Analytics Power Data-Driven Action. Data discovery applications also offer very limited customization, making it difficult to maintain consistent branding or control the end-user experience. The Better Approach: Embedded Analytics. Logi Analytics.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52

Insight Software

AUGUST 20, 2024

Its seamless integration into the ERP system eliminates many of the common technical challenges associated with software implementation; unlike other tools that make you customize data models, Jet Reports works directly with the BC data model. This means you get real-time, accurate data without the headaches.

IBM Support 52

IBM Support IBM Maintenance Finance IBM cost 52

Insight Software

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

JULY 24, 2023

Here are the burdens facing your team with on-premises ERP solutions: Too complex: ERP data models are complex and difficult to integrate with other ERPs, BI tools, and cloud data warehouses. Changes made to a data model often require technical support including, but not limited to, a forced reboot of connected applications.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support Data Warehouse 52