ElegantJ BI

OCTOBER 1, 2020

But, businesses do not have the time or budget to provide unlimited IT resources and the fast pace of business and market changes has made it difficult to satisfy the day-to-day data requirements of business users.

Data Discovery 130

Data Discovery Data Warehouse Business Intelligence Business Intelligence 130

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

MAY 25, 2023

As such, it is critical for businesses and organizations to not only collect and store big data, but also ensure its security to protect sensitive information and maintain trust with customers and stakeholders. In this blog, we will discuss the importance of big data security and the measures that can be taken to ensure it.

Big Data 40

Big Data Data Security Monitoring Data Quality 40

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

BizAcuity

SEPTEMBER 30, 2019

We saw in our earlier blog that businesses today are deciding between cloud-based deployments and on premise solutions. Migration Support, Vendor Lock in & Exit Planning. Clarify your requirements and align to your organization needs – Ensure that you are very clear with your data requirements.

Data Governance 140

Data Governance Government Cloud Computing Monitoring 140

Astera

MAY 31, 2024

Data Science Process Business Objective: This is where you start. You define the business objectives, assess the situation, determine the data science goals, and plan the project. You must plan the deployment, monitor and maintain the model, produce the final report, and review the project.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

MAY 21, 2024

Database schema design is creating an outline or a plan that defines how data will be stored, accessed, and managed 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

Bridging the Gap

MAY 18, 2023

Leading the BA effort on a project, it could involve planning the business analysis effort , it could involve determining how the requirements will be managed. Then your business analyst team will step in to discover, analyze, and define the detailed requirements. But that plan needs to segment your project in a meaningful way.

Business Analysis 52

Business Analysis Business Analysis Project Management Skillset 52

The BAWorld

APRIL 27, 2021

Let us say they decide on the below four requirements: Decide optimal price for the phone. Data Collection. After planning the business requirements, the focus can be shifted on what data is already available and what data needs to be collected to achieve the goal. Data Cleaning and Storage.

Data Analytics 52

Data Analytics Data Analytics Data Visualization Visualization 52

Astera

APRIL 28, 2023

Cognitive abilities: Intelligent systems possess cognitive abilities that allow them to perceive, reason, plan, and act in their environment. It results in more sophisticated and adaptive systems that can better navigate complex real-world environments.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

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.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

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

BizAcuity

SEPTEMBER 30, 2019

We saw in our earlier blog “ How to Choose Between Cloud-based and On-premise solutions ” that businesses today are deciding between cloud-based deployments and on-premise solutions. MIGRATION SUPPORT, VENDOR LOCK-IN & EXIT PLANNING. If you know what you are looking for (and not looking for), it makes it easier to choose.

Data Governance 113

Data Governance Government Cloud Computing Monitoring 113

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.

Data Management 130

Data Management Data Warehouse Data Governance Government 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.

Data Management 130

Data Management Data Warehouse Data Governance Government 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.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

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

BizAcuity

SEPTEMBER 30, 2019

We saw in our earlier blog “ How to Choose Between Cloud-based and On-premise solutions ” that businesses today are deciding between cloud-based deployments and on premise solutions. MIGRATION SUPPORT, VENDOR LOCK IN & EXIT PLANNING. If you know what you are looking for (and not looking for), it makes it easier to choose.

Data Governance 100

Data Governance Government Cloud Computing Monitoring 100

BizAcuity

SEPTEMBER 30, 2019

We saw in our earlier blog “ How to Choose Between Cloud-based and On-premise solutions ” that businesses today are deciding between cloud-based deployments and on premise solutions. MIGRATION SUPPORT, VENDOR LOCK IN & EXIT PLANNING. If you know what you are looking for (and not looking for), it makes it easier to choose.

Data Governance 100

Data Governance Government Cloud Computing Monitoring 100

Astera

FEBRUARY 22, 2023

These are just some of the many cases that highlight the importance of breaking down data silos to ensure seamless communication and improve patient outcomes. Healthcare organizations prefer a cloud provider that offers FHIR services to ensure data consistency.

Healthcare 52

Healthcare Government Information Technology Information Technology 52

Domo

MARCH 24, 2020

The volume of data required to make these decisions adds increasing levels of complexity. Transparency is vital for integrated department reporting and forecasting, and to ensure that meaningful, scenario-specific action plans can be formed. In 2020, it won’t be the case of looking through simple linear reports.

Digital 52

Digital Government Vision Customer Experience 52

Astera

OCTOBER 25, 2023

Some data extraction tools also allow you to extract data from unstructured files such as PDFs. Data mapping : In this phase, the actual transformation is planned. You must decide where the data is sourced and where it will be saved. The goal is to change the source data to a format suitable to the destination.

Data Quality 52

Data Quality Supply Chain Healthcare Planning 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

AUGUST 22, 2023

Automated Insurance Claim Processing The insurance claim processing in healthcare can be a labyrinth of procedures involving various stakeholders, each with unique data requirements. Missteps along the way, from incorrect patient information to improper billing codes, may lead to rejections, adding more processing time and effort.

Healthcare 52

Healthcare Data Management Supply Chain Pharmaceutical 52

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. Key features include: Client-Driven Schema Design: Clients can specify their data requirements that allows the server to deliver data as needed, eliminating over-fetching or under-fetching.

Documentation 52

Documentation Visualization Data Modelling Project Management 52

Astera

DECEMBER 12, 2023

Hospitality and Travel: Booking platforms such as Airbnb or Expedia use Experience APIs to aggregate data from multiple providers, including accommodations, transportation, and activities. This integration allows users to seamlessly plan and book entire travel experiences through a single interface.

E-Commerce 52

E-Commerce Monitoring User Experience Banking 52

Astera

MARCH 20, 2024

The ever-evolving regulatory environment means that your organization must always be capable of navigating a changing set of rules and standards that govern data. Enterprise Data Management Strategy An enterprise data management strategy is a comprehensive plan outlining how your organization will handle data throughout its lifecycle.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

MAY 6, 2024

Healthcare : Medical researchers analyze patient data to discover disease patterns, predict outbreaks, and personalize treatment plans. Data mining tools aid early diagnosis, drug discovery, and patient management. These tools enhance financial stability and customer satisfaction.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

NOVEMBER 1, 2023

Data warehouses employ a process called Extract, Transform, Load (ETL) , whereby data is extracted from different operational systems, such as customer relationship management (CRM) platforms, enterprise resource planning (ERP) systems and more and then it undergoes a transformation process to ensure consistency and compatibility.

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Data Pine

OCTOBER 30, 2019

Knowing your audience before you start your analysis – and even more importantly before you put together the report – will keep your reports and data focused and impactful. Have A Detailed Plan And Select Your KPIs. We are going to sound like a broken record here, but have a report plan before you start your analysis.

Visualization 51

Visualization Retail Data Visualization Government 51

Astera

FEBRUARY 1, 2024

With a combination of text, symbols, and diagrams, data modeling offers visualization of how data is captured, stored, and utilized within a business. It serves as a strategic exercise in understanding and clarifying the business’s data requirements, providing a blueprint for managing data from collection to application.

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

Astera

JANUARY 2, 2024

Learn More Data Management Challenges While there are many benefits of data management, its implementation can be a complex endeavor. However, many companies experience trouble in the identification of critical data elements. The goal should be to make organizational data accessible across the organization.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

MAY 11, 2023

The Power of Synergy: AI and Data Extraction Transforming Business Intelligence The technologies of AI and Data Extraction work in tandem to revolutionize the field of Business Intelligence. 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

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 12, 2023

Hospitality and Travel: Booking platforms such as Airbnb or Expedia use Experience APIs to aggregate data from multiple providers, including accommodations, transportation, and activities. This integration allows users to seamlessly plan and book entire travel experiences through a single interface.

E-Commerce 40

E-Commerce Monitoring User Experience Banking 40

Astera

SEPTEMBER 20, 2023

Integrating data can be a challenge, especially if you deal with multiple data sources. Each source may have its own format, structure, and quality standards, making it essential to establish a robust data integration strategy. Modern organizations use advanced data extraction tools to access and retrieve relevant information.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Integrating data can be a challenge, especially if you deal with multiple data sources. Each source may have its own format, structure, and quality standards, making it essential to establish a robust data integration strategy. Modern organizations use advanced data extraction tools to access and retrieve relevant information.

Data Warehouse 52

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