Sisense

AUGUST 28, 2019

As markets consolidate and acquisitions are made, incorporating multiple data architectures shouldn’t necessitate the consolidation of new data sources and data models with a single cloud vendor. The business intelligence and cloud computing markets experience consolidation like any other. Conclusion.

Cloud Computing 73

Cloud Computing Data Architecture Data Modelling Documentation 73

Astera

OCTOBER 7, 2022

Across industries, organizations generate a massive volume of data. Investing in analytics and business intelligence (BI) tools empowers business leaders to make more informed decisions. Unstructured data is qualitative and more categorical in nature. are available in an unstructured format. Conclusion.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 52

Sisense

JULY 6, 2020

Data governance is the foundation of EDM and is directly related to all other subsystems. Its main purpose is to establish an enterprise data management strategy. That includes the creation of fundamental documents that define policies, procedures, roles, tasks, and responsibilities throughout the organization.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Sisense

APRIL 7, 2020

“The release of the BigQuery Storage API reflects our ongoing commitment to enabling digital transformations as more companies continue to migrate data into the cloud,” said Sudhir Hasbe, Director, Product Management, Google Cloud. Creating a single source of truth in our Elastic Data Engine also yields tremendous benefits.

Big Data 86

Big Data Data Warehouse Product Management Product Management 86

Astera

MAY 25, 2023

Its primary goal is to assist businesses in leveraging their stored data to gain insights into their customers, make better decisions, and drive revenue growth. Therefore, by storing large amounts of structured or semi-structured data, users can quickly query the data using standard SQL-based tools and business intelligence software.

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

Marutitech

MARCH 10, 2022

Business intelligence tools have been the standard for organizations looking to remain ahead of the competition for the past few decades. With the expanding pace of digital changes in business, most analysts are increasingly asking, “What more can we do with data to assist business decisions?”

Predictive Analytics 130

Predictive Analytics IBM Maintenance E-Commerce IBM Support 130

Astera

JUNE 12, 2024

Data Governance Data lineage, data provenance , and data governance are all crucial concepts in data management, but they address different aspects of handling data. Data Provenance captures metadata describing the origin and history of data, including inputs, entities, systems, and processes involved.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Data Pine

SEPTEMBER 29, 2022

Therefore, there are several roles that need to be filled, including: DQM Program Manager: The program manager role should be filled by a high-level leader who accepts the responsibility of general oversight for business intelligence initiatives. The program manager should lead the vision for quality data and ROI.

Data Quality 96

Data Quality Monitoring Big Data Government 96

The BAWorld

NOVEMBER 5, 2023

What could be the reasons: A) Selection of incorrect elicitation techniques B) Lack of reviews C) Lack of existing documentation A and C All the three B and C A and B In the Requirement Elicitation phase, just before interacting with a highly influential Stakeholder, the Business Analyst has a dilemma on the place of interview.

Banking 52

Banking Documentation Business Analysis Business Analysis 52

Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

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

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

JUNE 1, 2023

A NoSQL database is a non-relational database that stores data in a format other than rows and columns. NoSQL databases come in a variety of types based on their data model. The main types are: Key-value stores: Data is stored in an unstructured format with a unique key to retrieve values. Examples are Redis and DynamoDB.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

JUNE 1, 2023

A NoSQL database is a non-relational database that stores data in a format other than rows and columns. NoSQL databases come in a variety of types based on their data model. The main types are: Key-value stores: Data is stored in an unstructured format with a unique key to retrieve values. Examples are Redis and DynamoDB.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

MARCH 7, 2024

Data now heavily impacts businesses at all levels, from everyday operations to strategic decisions. This growing role has driven the global business intelligence (BI) and analytics tools market to an estimated value of nearly $17 billion. Aims to ensure that all data follows the data model’s predefined rules.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Modelling 52

Astera

JULY 3, 2024

This improved data management results in better operational efficiency for organizations, as teams have timely access to accurate data for daily activities and long-term planning. An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

JUNE 3, 2024

These databases are suitable for managing semi-structured or unstructured data. Types of NoSQL databases include document stores such as MongoDB, key-value stores such as Redis, and column-family stores such as Cassandra. These databases are ideal for big data applications, real-time web applications, and distributed systems.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Domo

JANUARY 30, 2024

As a solutions engineer, I’ve worked for two popular business intelligence (BI) providers: Tableau and Domo. It can be used to upload larger Domo data sets (over 10 million rows) to Tableau workbooks. Domo ODBC Data Driver fetches data from Domo over HTTPS. Find more documentation here about installation.

Visualization 52

Visualization Documentation Data Governance Data Visualization 52

Astera

JANUARY 23, 2023

Since traditional management systems cannot cope with the massive volumes of digital data, the healthcare industry is investing in modern data management solutions to enable accurate reporting and business intelligence (BI) initiatives. What is Health Data Management ?

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Astera

MAY 21, 2024

They’re the blueprint that defines how a database stores and organizes data, its components’ relationships, and its response to queries. Database schemas are vital for the data modeling process. Well-designed database schemas help you maintain data integrity and improve your database’s effectiveness.

Documentation 52

Documentation Data Modelling Visualization Data Requirement 52

Astera

DECEMBER 29, 2023

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. Free Download What is a Data Warehouse? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

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. Free Download What is a Data Warehouse? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

MindsMapped

JULY 18, 2020

Business Analysts and Business Analytics – Differences. Business Analyst. The different techniques Business Analysts use, to achieve the expected outcome, is what makes them different from Business Analytics. Business Analytics. Business Analytics mostly work with data and statistics.

Business Analysis 46

Business Analysis Business Analysis Requirements Gathering Documentation 46

Astera

SEPTEMBER 20, 2024

NoSQL Databases: NoSQL databases are designed to handle large volumes of unstructured or semi-structured data. Unlike relational databases, they do not rely on a fixed schema, providing more flexibility in data modeling. There are several types of NoSQL databases, including document stores (e.g.,

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Astera

MAY 13, 2024

Data complexity, granularity, and volume are crucial when selecting a data aggregation technique. Documenting All Processes and Underlying Assumptions When aggregating data, document all processes and assumptions you use to obtain the aggregated results.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

MAY 30, 2024

Velocity : The speed at which this data is generated and processed to meet demands is exceptionally high. Variety : Data comes in all formats – from structured, numeric data in traditional databases to emails, unstructured text documents, videos, audio, financial transactions, and stock ticker data.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

JULY 13, 2023

Data warehouses are designed to support complex queries and provide a historical data perspective, making them ideal for consolidated data analysis. They are used when organizations need a consolidated and structured view of data for business intelligence, reporting, and advanced analytics.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

OCTOBER 27, 2023

Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. Cloud data warehouses are designed to handle complex queries and are optimized for business intelligence (BI) and analytics. We've got both!

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Bridging the Gap

MARCH 5, 2024

Formulate Your Business Analysis Plan – Identify what types of documentation or deliverables to create, and what needs to be done when. Ensure stakeholders understand what contributions they need to make as part of the project, as business analysis never happens in a vaccum.

Business Analysis 52

Business Analysis Business Analysis Project Management Portfolio Management 52

Tableau

DECEMBER 1, 2021

Tableau has been helping people and organizations to see and understand data for almost two decades, bringing exciting innovations to the landscape of business intelligence with every product release. This allows you to explore features spanning more than 40 Tableau releases, including links to release documentation. .

Innovation 145

Innovation Visualization User Experience Documentation 145

Tableau

DECEMBER 1, 2021

Tableau has been helping people and organizations to see and understand data for almost two decades, bringing exciting innovations to the landscape of business intelligence with every product release. This allows you to explore features spanning more than 40 Tableau releases, including links to release documentation. .

Innovation 98

Innovation Visualization User Experience Documentation 98

Astera

AUGUST 28, 2024

What are data analysis tools? Data analysis tools are software solutions, applications, and platforms that simplify and accelerate the process of analyzing large amounts of data. They enable business intelligence (BI), analytics, data visualization , and reporting for businesses so they can make important decisions timely.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40

Astera

APRIL 24, 2024

Pros: User-friendly interface for data preparation and analysis Wide range of data sources and connectors Flexible and customizable reporting and visualization options Scalable for large datasets Offers a variety of pre-built templates and tools for data analysis Cons: Some users have reported that Alteryx’s customer support is lacking.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

The BAWorld

MARCH 19, 2025

Those who focus on transforming raw data into actionable insights using Power BI. Ideal for professionals who create dashboards, reports, and data models. Key Skills Covered: Connecting to and transforming data sources. Building and optimizing Power BI data models. Implementing row-level security.

Data Modelling 49

Data Modelling Data Warehouse Visualization Documentation 49

Insight Software

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

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. Data warehouses can be complex, time-consuming, and expensive.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52