Astera

JUNE 8, 2023

Data Integrity and Concurrency Control: Oracle ensures data integrity through constraints, triggers, and advanced concurrency control techniques. Data Analytics and Business Intelligence: Oracle supports powerful data analytics and business intelligence, enabling robust analysis, reporting, and decision-making.

Documentation 52

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Astera

JUNE 8, 2023

Data Integrity and Concurrency Control: Oracle ensures data integrity through constraints, triggers, and advanced concurrency control techniques. Data Analytics and Business Intelligence: Oracle supports powerful data analytics and business intelligence, enabling robust analysis, reporting, and decision-making.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Actian

JUNE 17, 2019

For companies that want to develop a sustainable competitive advantage, they must start aggregating, organizing and refining their massive data stores into the real business intelligence that leads to better decisions and more efficient operations. “We We are struggling to convert data into actionable insights.”.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Astera

APRIL 7, 2023

Finally, the stored data is retrieved at optimal speeds to support efficient analysis and decision-making. Essentially, a data warehouse also acts as a centralized database for storing structured, analysis-ready data and giving a holistic view of this data to decision-makers.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses. What is ETL? Let’s break down each step: 1.

Data Warehouse 214

Data Warehouse Data Quality Data Analytics Data Analytics 214

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

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. What Is Amazon Redshift? 

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

Smart Data Collective

JUNE 16, 2022

Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( see more ).

Data Warehouse 325

Data Warehouse Data Modelling Monitoring Business Intelligence 325

Sisense

JANUARY 15, 2021

Access to information can be a game-changer for businesses looking to unlock strategic advantages through analytical insights. Ensuring that your organization has the right business intelligence and analytics tools to drive this innovation is key. Furthermore, their scarcity means they command hefty salaries.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

Sisense

AUGUST 22, 2019

Python, R, and Analytics. SQL is a critical skill for business intelligence. From accessing to transforming to reporting on data, SQL gives you the power to get the job done. These are the types of questions that take a customer to the next level of business intelligence — predictive analytics. .

Predictive Analytics 73

Predictive Analytics Data Warehouse Business Intelligence Business Intelligence 73

Sisense

MAY 21, 2020

The changes we make today will propel future generations, so access to data, and liberating data, is increasingly important to make informed, thoughtful business decisions that are not based on gut feel, but through data that drive insight. We want to work with partners who are ahead of these trends.

Digital Transformation 98

Digital Transformation Innovation Digital Retail 98

Insight Software

MAY 6, 2022

Business intelligence empowers businesses to get the most out of their data by providing tools to analyze information, streamline operations, track performance, and inform decision-making. Their combined utility makes it easy to create and maintain a complete data warehouse solution with very little effort.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support IBM cost 52

Insight Software

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. that gathers data from many sources. CRM, ERP, EHR/EMR) or portals (e.g., It’s all about context.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

AUGUST 27, 2021

Perhaps just as importantly, we designed Jet Reports and Jet Analytics to perform a full range of operational financial reporting tasks, as well as advanced analytical tasks. Jet Analytics is a robust Business Intelligence (BI) solution that complements Jet Reports with a data warehouse and advanced analytics capabilities.

IBM Maintenance 98

IBM Maintenance IBM Support IBM cost Data Warehouse 98

Insight Software

JULY 27, 2022

As Business Intelligence (BI) tools, data warehousing solutions, and enterprise data and application landscapes have advanced, it’s worth taking the time to rethink that old model, starting with the dichotomy between operational reporting (OR) and strategic analytics.

IBM Support 52

IBM Support Supply Chain IBM Expert IBM Maintenance 52

Insight Software

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? How can we respond in real time to the company’s analytic needs? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Self-service BI.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost IBM Expert 52

Insight Software

OCTOBER 24, 2022

Traditional business intelligence platforms offer another alternative, but full-stack BI solutions tend to be difficult to use and maintain, typically requiring a team of full-time specialists, and little or no self-service capabilities. The Definitive Guide to Embedded Analytics. Logi Analytics. Download Now.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52