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

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

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

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

JUNE 30, 2020

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. The power of data and analytics extends far beyond dashboards.

Embedded Analytics 59

Embedded Analytics Visualization Data Modelling Data Warehouse 59

Sisense

MARCH 2, 2020

Introducing the Sisense Data Model APIs. The new Sisense Data Model APIs extend the capabilities provided by the Sisense REST APIs. Builders will be able to programmatically create and modify Sisense Data Models using fully RESTful and JSON-based APIs. You may be asking “What’s a Sisense Data Model, exactly?”

Data Modelling 87

Data Modelling Embedded Analytics User Experience Innovation 87

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

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 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 Supply Chain Data Analytics Data Analytics 52

Sisense

MARCH 18, 2019

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. With Sisense, we provide white-labeled embedded analytics within our client SaaS applications. Data Complexity.

Embedded Analytics 71

Embedded Analytics Data Modelling Monitoring Logistics 71

Sisense

MAY 11, 2021

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. Building the right data model is an important part of your data strategy.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

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 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

AUGUST 30, 2024

AI can also be used for master data management by finding master data, onboarding it, finding anomalies, automating master data modeling, and improving data governance efficiency. Early research shows that AI could have cost-saving benefits for companies with complex supply chains.

Supply Chain 52

Supply Chain IBM Maintenance IBM Support IBM cost 52

Insight Software

DECEMBER 8, 2023

Organizations seeking cloud migration must recalibrate processes, reconfigure data models, and adapt to a new interface and functionality. For finance teams, the shift to S/4HANA signifies a departure from familiar landscapes, often requiring a steep learning curve and a drop in productivity.

Finance 52

Finance IBM Maintenance IBM Support Supply Chain 52

Insight Software

JULY 24, 2023

Think More Clearly with Angles’ Oracle Cloud Smarts Angles for Oracle provides enterprises using Oracle Business Applications with the power of continuous operational insights and strategic analytics, helping users outthink and outmaneuver the competition.

Supply Chain 52

Supply Chain IBM Support IBM Maintenance Vision 52

Insight Software

JUNE 24, 2024

There are many other ways to represent this data relationally and numerous other data models that can be mapped. Over the years, we have encountered a variety of data types and successfully mapped all of them into sensible relational representations.

IBM Support 52

IBM Support IBM Expert IBM Maintenance Documentation 52

Insight Software

OCTOBER 8, 2024

To do forecasting–financial, operational, or otherwise–out of the box, you need to create the data models behind the reports, then create the reports themselves. But there isn’t a simple solution for forecasting with Oracle alone. This is a highly technical process that requires multiple members of your team to complete.

Finance 52

Finance IBM cost IBM Maintenance IBM Support 52