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

OCTOBER 14, 2020

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. 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. It’s simple: Personalization improves customer satisfaction, keeps users engaged, and increases retention rates.

User Experience 52

User Experience Embedded Analytics Visualization Data Visualization 52

Sisense

JULY 8, 2020

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.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Sisense

MARCH 30, 2021

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. for a custom, integrated embedded analytics solution.

Embedded Analytics 52

Embedded Analytics Data Warehouse Data Modelling Innovation 52

Sisense

JANUARY 6, 2021

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. Horsepower under the hood.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

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. The post Why CIOs Should Weave Data Fabrics Into Their Orgs first appeared on Blog.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 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

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

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. displaying BI insights for human users).

Big Data 52

Big Data Supply Chain Data Analytics Data Analytics 52

Sisense

FEBRUARY 23, 2021

When deploying analytics for your company or your customers, you can feel stuck between the twin poles of “What data is available?” The key to coming up with the best insights lies in delving deeply into both questions; the answers you discover can help you get even more out of your data. Applying data to goals.

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

This desire absolutely weighs heavily on the minds of the people who work with business intelligence and analytics platforms. Gerimedica empowers healthcare providers by embedding analytics into its product. The drive to build is innate.

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

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. Radial delivers a modern analytics experience with Sisense. Actionable intelligence empowers users.

Embedded Analytics 52

Embedded Analytics Data Warehouse Innovation Data Governance 52

Sisense

SEPTEMBER 17, 2020

Innovation means different things in different industries, but one common feature that many apps are gravitating toward is analytics. In this post, we’ll explore why embedded analytics are so vital and new ways to let users actually talk to their data. Building beyond basic embedding. Shruthi Panicker is a Sr.

Embedded Analytics 98

Embedded Analytics Innovation Data Modelling Visualization 98

Sisense

MAY 21, 2020

The movement of data from on-premise systems to the cloud is imperative; the cloud market is nearly $250B and is growing quickly. 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

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. All of these considerations will influence how quickly a new platform can be implemented.

Visualization 105

Visualization Government Embedded Analytics Agile 105

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

JUNE 15, 2021

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.

Vision 52

Vision Customer Experience Customer Experience Data Modelling 52

Insight Software

MARCH 13, 2024

Between complex data structures, data security questions, and error-prone manual processes, merging data from disparate sources into a single system can quickly turn your routine reporting processes into a stressful and time-consuming ordeal.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52