Sisense

MARCH 31, 2019

Business intelligence implementation can seem like a daunting task at the outset. There are so many moving parts, needs, and requirements that finding the right starting point may feel like a shot in the dark. Data update frequency. Define KPIs (necessary to answer your primary business question). Target audience.

Business Intelligence 75

Business Intelligence Business Intelligence Documentation Planning 75

Tableau

JUNE 6, 2022

Rather than in-house team members racing to innovate and stay agile, your embedded provider takes care of the innovation and provides updated features and functionality. The data they did have access to was disparate, static, and unreliable. When AmFam began its data transformation in 2016, it started by digitizing all of its data.

Embedded Analytics 98

Embedded Analytics Innovation Real-time Data Visualization 98

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. Have an Agile Approach.

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52

Astera

DECEMBER 21, 2022

In comparison to cloud data warehouses, on-premise data warehouses pose certain challenges that affect the efficiency of the organizations’ analytics and business intelligence operations. Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

NOVEMBER 1, 2023

Data warehouses have risen to prominence as fundamental tools that empower financial institutions to capitalize on the vast volumes of data for streamlined reporting and business intelligence. Efficient Reporting: Standardized data within a data warehouse simplifies the reporting process.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 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

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

Astera

OCTOBER 19, 2023

While all data transformation solutions can generate flat files in CSV or similar formats, the most efficient data prep implementations will also easily integrate with your other productivity business intelligence (BI) tools. Manual export and import steps in a system can add complexity to your data pipeline.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

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

Data Pine

OCTOBER 30, 2019

Usually created with past data without the possibility to generate real-time or future insights, these reports were obsolete, comprised of numerous external and internal files, without proper data management processes at hand. The rise of innovative report tools means you can create data reports people love to read.

Visualization 51

Visualization Retail Data Visualization Government 51

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 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

Data Pine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Insight Software

OCTOBER 9, 2024

” The article goes on to state that “by 2020, predictive and prescriptive analytics will attract 40% of enterprises’ net new investment in business intelligence and analytics.” Data Privacy : Handling real-time customer data requires stringent data governance to ensure compliance with privacy laws.

Real-time Data 52

Real-time Data Artificial Intelligence Retail Customer Experience 52

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

JULY 11, 2022

Whether you’re using Yardi’s screen-based SQL, YSR, or SSRS, it’s challenging to compile all your data into an agile, customizable report. Future-facing real estate businesses must be flexible to account for these trends. Some departments may successfully use traditional business intelligence and data visualization tools.

IBM Maintenance 52

IBM Maintenance IBM Support Finance Supply Chain 52

Insight Software

NOVEMBER 18, 2022

And without the need for expensive business intelligence tools or IT projects. Reporting for global companies is a complex process that often sees different reports for regional business units. Adding CXO to Essbase means you can connect directly to your data for deep real-time insight. Regional Reporting.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support IBM Expert 52