ElegantJ BI

SEPTEMBER 30, 2021

Datawarehouses (DWH) typically serve the entire organization and may have several Data Marts combined within the DWH to serve individual business units or departments (see Data Marts below for more information). Suitable For: Large volumes of data, integration of data sources, data sources do not change often.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Astera

APRIL 28, 2023

The rise of AI has led to an explosion in the amount of available data, creating new opportunities for businesses to extract insights and make informed decisions. Grappling with the Data Management Puzzle This explosion in data has also led to challenges in managing and processing this information effectively.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Insight Software

MARCH 8, 2021

It can be difficult to pull information from multiple NetSuite modules into a single, cohesive report. In other instances, information for which there ought to be a fairly straightforward reporting process turns out to be inaccessible. Here’s how it works: How to Add NetSuite Data to Excel with Spreadsheet Server.

Finance 98

Finance Data Requirement 98

Sisense

AUGUST 11, 2019

BI is also about accessing and exploring your organization’s data. And, again, the ultimate goals are to better understand how the business is doing, make better-informed decisions that improve performance, and create new strategic opportunities for growth. What About “Business Intelligence”? Confused yet?

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Whizlabs

DECEMBER 13, 2020

Chief Information Security Officers or CISOs are more likely to prioritize cloud-native security with the adoption of serverless, Kubernetes as well as other cloud-native technologies. Chief Information Officers are more likely to have a higher dependency on development teams for guiding the technical direction of the enterprise.

Monitoring 98

Monitoring Digital Transformation Product Management Product Management 98

Marutitech

OCTOBER 8, 2021

The contextual analysis of identifying information helps businesses understand their customers’ social sentiment by monitoring online conversations. . If your business requires the polarity precisions, then you can classify your polarity categories into the following parts: Very positive . What is Sentiment Analysis?

Monitoring 98

Monitoring Documentation Logistics Customer Experience 98

Netmind

MARCH 9, 2021

Have you ever made a decision based on intuition without relying on objective information? Have you ever thought that if you hadn’t rushed a decision or if you’d taken into account certain information, you would have done it differently? The data (information) we work with should start from the decisions we want to make.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Netmind

NOVEMBER 1, 2020

Have you ever made a decision based on intuition without relying on objective information? Have you ever thought that if you hadn’t rushed a decision or if you’d taken into account certain information, you would have done it differently? The data (information) we work with should start from the decisions we want to make.

Data Governance 52

Data Governance Government Data Requirement Vision 52

Astera

JULY 20, 2023

The digital era has ushered in a massive heap of data, presenting businesses with the opportunity to exchange information with their partners and stakeholders more effectively. According to an IDC study , the volume of digital data generated worldwide is projected to reach a staggering 175 zettabytes by 2025.

Supply Chain 52

Supply Chain Documentation Digital Data Requirement 52

Astera

MARCH 26, 2023

Data is at the heart of the insurance industry. Vast amount of information is collected and analyzed daily for different purposes including risk assessment, product development, and making informed business decisions. Consider an insurance company that needs to extract data from a large number of PDF documents.

Documentation 52

Documentation Data Quality Data Warehouse Data Management 52

Astera

DECEMBER 22, 2022

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Technical Assets .

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52

Astera

MAY 25, 2023

It’s used by organizations to store information and manipulate data through queries. You can use a SQL server to add, delete or update records, or query the data stored inside it. Scalability : MySQL is known for its scalability and can handle large amounts of data efficiently. What Is SQL Server?

Data Warehouse 52

Data Warehouse Data Requirement Finance Data Security 52

Marutitech

DECEMBER 17, 2021

Manual forecasting of data requires hours of labor work with highly professional analysts to draw out accurate outputs. That’s why LSTM RNN is the preferable algorithm for predictive models like time-series or data like audio, video, etc. As mentioned above, LSTM stands for the Long Short-Term Memory model.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

DECEMBER 7, 2023

If you want to know the exact figures, data is estimated to grow beyond a staggering 180 zettabytes by 2025! Handling all that information needs robust and efficient processes. ETL—Extract, Transform, Load— is a pivotal mechanism for managing vast amounts of information. That’s where ETL comes in. What is ETL?

Supply Chain 52

Supply Chain E-Commerce Data Warehouse Real-time Data 52

Astera

DECEMBER 7, 2023

If you want to know the exact figures, data is estimated to grow beyond a staggering 180 zettabytes by 2025! Handling all that information needs robust and efficient processes. ETL—Extract, Transform, Load— is a pivotal mechanism for managing vast amounts of information. That’s where ETL comes in. What is ETL?

Supply Chain 52

Supply Chain E-Commerce Real-time Data Data Warehouse 52

Bridging the Gap

OCTOBER 12, 2023

Each line between the core system and the integrated systems represent what information would be passed between those two systems. Pass and pull are being used to reference that central portal system under design. For example, the accounting system would pass eCheck information to the portal.

Data Modelling 52

Data Modelling Visualization Business Analysis Business Analysis 52

Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

JUNE 14, 2023

Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. It involves identifying and retrieving specific data points such as invoice and purchase order (PO) numbers, names, and addresses among others.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Astera

JANUARY 24, 2024

For instance, a database (SQL Server) of an e-commerce website contains information about customers who place orders on the website. Without CDC, periodic updates to the customer information will involve extracting the entire dataset, processing it, and reloading it into the database.

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52

Insight Software

MAY 15, 2020

You have taken all this time to set goals, collect data, and compile it. Now it is time to present the data. We have covered a lot of information. The balance sheet and the income statement are the two other financial reporting documents that provide a substantial amount of information pertaining to financial KPIs and metrics.

Finance 98

Finance Monitoring Banking Documentation 98

Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

MAY 21, 2024

Physical Schema A physical schema is the most elaborate of all three schemas, providing the most detailed description of data and its objects — such as tables, columns, views, and indexes. Unlike a logical schema, a physical one offers technical and contextual information. “Date Dimension” contains information on dates.

Documentation 52

Documentation Data Modelling Visualization Data Requirement 52

Astera

MAY 25, 2023

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Astera

JUNE 5, 2024

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

Real-time Data 52

Real-time Data Data Warehouse Healthcare Monitoring 52

Astera

SEPTEMBER 20, 2023

Additionally, you’ll need to plan your data integration project to ensure data accuracy and timeliness throughout the integration process. Overcoming these challenges often involves using specialized data integration tools that streamline the process and provide a unified, reliable dataset for informed decision-making and analysis.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

Additionally, you’ll need to plan your data integration project to ensure data accuracy and timeliness throughout the integration process. Overcoming these challenges often involves using specialized data integration tools that streamline the process and provide a unified, reliable dataset for informed decision-making and analysis.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

MAY 11, 2023

Imagine a world where businesses can effortlessly gather structured and unstructured data from multiple sources and use it to make informed decisions in mere minutes – a world where data extraction and analysis are an efficient and seamless process. AI can analyze vast amounts of data but needs high-quality data to be effective.

Business Intelligence 40

Business Intelligence Business Intelligence Supply Chain Logistics 40

Astera

FEBRUARY 7, 2024

Keep in mind that zero-ETL is not a technology but rather a philosophy and approach to data integration. Therefore, the term “components of zero-ETL” refers to key elements and strategies that contribute to achieving its goals. Organizations aim to handle diverse data sources without the need for upfront standardization.

Real-time Data 52

Real-time Data Cybersecurity Data Quality Monitoring 52

Astera

OCTOBER 12, 2023

Data Preparation: Talend allows users to prepare the data, apply quality checks, such as uniqueness and format validation, and monitor the data’s health via Talend Trust Score. Datameer Datameer is a data preparation and transformation solution that converts raw data into a usable format for analysis.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

DECEMBER 21, 2022

Across all sectors, success in the era of Big Data requires robust management of a huge amount of data from multiple sources. Whether you are running a video chat app, an outbound contact center, or a legal firm, you will face challenges in keeping track of overwhelming data.

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Astera

AUGUST 12, 2024

These transformations help address errors, ensure conformity, facilitate interoperability, provide summaries, focus on relevant subsets, organize data, integrate diverse sources, extract specific information, restructure for different perspectives, and augment datasets with additional context.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

Astera

FEBRUARY 9, 2024

These transformations help address errors, ensure conformity, facilitate interoperability, provide summaries, focus on relevant subsets, organize data, integrate diverse sources, extract specific information, restructure for different perspectives, and augment datasets with additional context.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

Astera

MARCH 11, 2024

This is facilitated by the automatic handling of indexing and optimization, which removes the traditional administrative overhead associated with managing a data warehouse. What are Snowflake ETL Tools? Snowflake ETL tools are not a specific category of ETL tools. While some ETL tools are available for free, others come with a price tag.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

The BAWorld

NOVEMBER 22, 2021

It combines high performance and ease of use to let end users derive insights based on their requirements. For example, some users might prefer sales information at the state level, while some may want to drill down to individual store sales details. Also, see data visualization. Data Analytics. Data Cleaning.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Data Pine

NOVEMBER 27, 2019

A survey conducted by the Business Application Research Center stated the data quality management as the most important trend in 2020. It is not only important to gather as much information possible, but the quality and the context in which data is being used and interpreted serves as the main focus for the future of business intelligence.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

The BAWorld

NOVEMBER 7, 2024

Managing and arranging the business data required to document the success or failure of a given solution is a challenging task. From the beginning to the end, maintaining control and retaining requirements and design knowledge. Making enhancements to a proposed solution model would raise the model’s value.

Business Analysis 98

Business Analysis Business Analysis Requirements Life Cycle Management Design Definition 98

Insight Software

MAY 1, 2023

that gathers data from many sources. Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52