Data Modelling Embedded Analytics IBM Support 
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.
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.
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Insight Software
MARCH 31, 2025
Our research shows that some tasks, such as financial system maintenance (43%), management report generation (38%), or audit preparation/support (36%), are highly automated amongst Oracle-driven teams, often using tools like Oracle Financial Reporting Studio. A significant portion of time is wasted with manual processes.
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.
Insight Software
SEPTEMBER 1, 2023
Predictive analytics is becoming more common across all business applications, like CRM, supply chain and marketing automation. But we’re also seeing its use expand in other industries, like Financial Services applications for credit risk assessment or Human Resources applications to identify employee trends.
Insight Software
OCTOBER 24, 2022
In this article, we’ll address the various ways that software companies (including SaaS vendors) can build analytics into their products. Using third-party libraries also creates some challenges with respect to security, which must be implemented separately for each UI component. The Better Approach: Embedded Analytics.
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. First, it reduces the potential for errors and inconsistencies in data movement and transformation.
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