ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Use by business units, departments or specific roles within the organization that have a need to analyze and report and require high quality data and good performance. Advantages: Can provide secured access to data required by certain team members and business units. Intended Use of Data.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

Suitable For: Use by business units, departments or specific roles within the organization that have a need to analyze and report and require high quality data and good performance. Advantages: Can provide secured access to data required by certain team members and business units. Intended Use of Data.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. The challenge comes when the data becomes huge and fast-changing.

Visualization 98

Visualization Data Warehouse Innovation Predictive Analytics 98

Data Pine

MAY 2, 2023

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? Financial efficiency: One of the key benefits of big data in supply chain and logistics management is the reduction of unnecessary costs. Now’s the time to strike.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

The BAWorld

MARCH 13, 2024

This blog dives into the top 10 most valuable business analysis techniques, equipping you to navigate complex challenges and deliver game-changing solutions. Process Modeling: Unveiling the Flow Imagine a roadmap outlining your business processes, visualizing workflows, decision points, and interactions.

Business Analysis 52

Business Analysis Business Analysis Backlog Management Process Modelling 52

The BAWorld

NOVEMBER 22, 2021

A dashboard is a collection of multiple visualizations in data analytics terms that provide an overall picture of the analysis. It combines high performance and ease of use to let end users derive insights based on their requirements. Also, see data visualization. Data Analytics. Data Modeling.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Sisense

AUGUST 11, 2019

The sheer quantity and scope of data produced and stored by your company can make it incredibly hard to peer through the number-fog to pick out the details you need. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Astera

APRIL 28, 2023

Final Verdict: Intelligent Systems are Changing the Game Intelligent systems are revolutionizing data management by providing new and innovative ways to analyze, process, and interpret vast amounts of data. Data management throughout its entire lifecycle, from acquisition to disposal, is a complex process.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

The BAWorld

NOVEMBER 24, 2023

As the volume and complexity of data increase, DA will become increasingly important in managing the digital age’s difficulties and opportunities. Key Features: User-friendly interface for data manipulation and visualization. Tableau: Description: Advanced data visualization software for interactive and intuitive insights.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Predictive Analytics 52

The BAWorld

APRIL 27, 2021

Thus, we can see how precisely business requirements can be translated to exact data requirements for analysis. Data Cleaning and Storage. Data Cleaning. The next step of Data Analytics Projects Life Cycle is data cleaning. Data Analysis. Once clean data is stored, it is ready for analysis.

Data Analytics 52

Data Analytics Data Analytics Data Visualization Visualization 52

Data Pine

OCTOBER 30, 2019

Users can also easily export these dashboards and data visualizations into visually stunning reports that can be shared via multiple options such as automating e-mails or providing a secure viewer area, even embedding reports into your own application, for example. What data and insights do your shareholders require?

Visualization 51

Visualization Retail Data Visualization Government 51

Astera

JULY 18, 2023

They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency. In this blog, we will explore the benefits of data wrangling tools and the top contenders in the market.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

The BAWorld

DECEMBER 6, 2023

Leverage the flexibility and affordability of self-paced online courses to grasp the fundamentals of data analysis , including statistical concepts, data cleaning techniques, and data visualization methods. Focus on developing proficiency in programming languages like Python and R, which are widely used in data analysis.

Data Analytics 52

Data Analytics Data Analytics Artificial Intelligence Visualization 52

Sisense

FEBRUARY 10, 2021

In order to do this, my team uses data to identify problem areas and potential issues for our customers (ideally before they happen). Utilities employ skilled professionals as knowledge workers, but creating a simple, visual way to analyze their data is a hard skillset to find in abundance.

Skillset 52

Skillset Data Requirement Data Quality Documentation 52

Astera

MAY 31, 2024

Data science covers the complete data lifecycle: from collection and cleaning to analysis and visualization. Data scientists use various tools and methods, such as machine learning, predictive modeling, and deep learning, to reveal concealed patterns and make predictions based on data.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

The BAWorld

APRIL 11, 2022

Convert business needs into data requirements. Clean, transform, and mine data from primary and secondary sources. Collate insights, create visualizations and develop dashboards that effectively communicate the insights (trends, patterns, and predictions). Certification in Business Data Analytics by IIBA.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support Data Analytics 52

Domo

MARCH 24, 2020

The volume of data required to make these decisions adds increasing levels of complexity. Using an AI-enabled system will also reduce time to market by accelerating the creative process, allowing characterization, tagging, and the selection of textual and visual digital assets to be powered by machine learning.

Digital 52

Digital Government Vision Customer Experience 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. Best Practices to Build Your Data Warehouse .

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52

Astera

SEPTEMBER 25, 2024

Let’s find out in this blog. Airbyte is an open-source data integration platform that allows organizations to easily replicate data from multiple sources into a central repository. Focus on data security with certifications, private networks, column hashing, etc. Hevo Data Hevo Data is a no-code data pipeline tool.

Real-time Data 52

Real-time Data Data Warehouse Documentation Monitoring 52

Marutitech

DECEMBER 17, 2021

What is predictive data modeling? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail. What is Predictive Data Modeling? Predictive modeling is a statistical technique that can predict future outcomes with the help of historical data and machine learning tools.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

NOVEMBER 13, 2023

In this blog, we’ll dive into the importance of API design tools, key features to look for and review the top tools in the market. Astera’s API builder is a blank canvas where you can visually construct request processing pipelines. 14% also mentioned that not having the right tools adds to the task of creating a good API.

Documentation 52

Documentation Visualization Project Management Data Modelling 52

Astera

MAY 6, 2024

Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., – Data visualization and simple pattern recognition. Simplifying data visualization and basic analysis. – Steeper learning curve; requires coding skills. Can handle large volumes of data. – Quick and easy to learn.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

MARCH 13, 2023

Data Visualization : Explorations contain multiple report formats. Create a visual representation best suited to your data requirements to deliver insights to stakeholders effectively. Collaboration : Easily share custom-built reports with team members and stakeholders to make informed, data-driven decisions.

Predictive Analytics 52

Predictive Analytics Data Warehouse Visualization Data Visualization 52

Astera

OCTOBER 19, 2023

Manual export and import steps in a system can add complexity to your data pipeline. When evaluating data preparation tools, look for solutions that easily connect data visualization and BI reporting applications to guide your decision-making processes, e.g., PowerBI, Tableau, etc.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

OCTOBER 12, 2023

By offering a spreadsheet-style interface, the platform allows users to navigate and interact with complex data in an intuitive manner. Key Features: Data Preparation: Datameer’s self-service data preparation interface is spreadsheet-like, making it easy for users to explore, transform, and visualize data.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

MARCH 11, 2024

According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

MAY 21, 2024

A database schema, or DB schema, is an abstract design representing how your data is stored in a database. It involves specifying the tables, their fields, data types, relationships, constraints, and other characteristics that determine how data will be stored, accessed, and used within the database.

Documentation 52

Documentation Data Modelling Visualization Data Requirement 52

Astera

DECEMBER 21, 2022

Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance. Fortunately for forward-thinking organizations, cloud data warehousing solves many of these problems and makes leveraging insights quick and easy. What is a Cloud Data Warehouse?

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

AUGUST 15, 2024

It’s also more contextual than general data orchestration since it’s tied to the operational logic at the core of a specific pipeline. Since data pipeline orchestration executes an interconnected chain of events in a specific sequence, it caters to the unique data requirements a pipeline is designed to fulfill.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

Astera

JULY 20, 2023

Best Practices for Successful EDI Mapping To achieve the most seamless interoperability capabilities and maximize the benefits of utilizing EDI tools, businesses can adhere to key best practices that ensure efficient mapping processes and optimal data compatibility.

Supply Chain 52

Supply Chain Documentation Digital Data Requirement 52

Astera

NOVEMBER 28, 2023

Therefore, it is imperative for your organization to invest in appropriate tools and technologies to streamline the process of building a data pipeline. This blog details how to build a data pipeline effectively step by step, offering insights and best practices for a seamless and efficient development process.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

JANUARY 9, 2023

With the advancements in cloud technology, a single cloud provider can easily fulfill all data requirements. You can simply drag and drop the connectors in the visual browser, enter credentials, and map your pipelines to ensure seamless data exchange between multiple cloud providers. Let’s delve into the details.

Data Quality 52

Data Quality Data Requirement Visualization Data Management 52

Astera

JANUARY 18, 2024

So, in case your data requires extensive transformation or cleaning, Fivetran is not the ideal solution. Fivetran might be a viable solution if your data is already in good shape, and you need to leverage the computing power of the destination system. You can easily design and orchestrate complex workflows.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Astera

FEBRUARY 1, 2024

Data models help us understand and utilize data within any system. Data modeling involves creating a detailed visual representation of an information system or its components. It is designed to communicate the connections between various data points and structures.

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

Astera

MARCH 19, 2024

The Importance of Data Governance Data governance facilitates accessibility by establishing clear guidelines for who can access the data under what circumstances. These guidelines ensure that every employee has access to data required for their roles, promoting collaboration and informed decision-making across the organization.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

DECEMBER 7, 2023

Compliance and Regulatory Reporting In industries subject to stringent regulations like finance and healthcare, batch processing ensures the consolidation and accurate reporting of data required for compliance. This includes generating reports, audits, and regulatory submissions from diverse data sources.

Supply Chain 52

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