Actian

FEBRUARY 24, 2020

If you want your business to be agile, you need to be leveraging real-time data. If you want to survive and thrive in the fast-paced business environment, you need to be agile. If you want to survive and thrive in the fast-paced business environment, you need to be agile. The cost of delay.

Data Warehouse 40

Data Warehouse Real-time Data Agile Big Data 40

Astera

JUNE 13, 2023

Evolution of Data Pipelines: From CPU Automation to Real-Time Flow Data pipelines have evolved over the past four decades, originating from the automation of CPU instructions to the seamless flow of real-time data. Initially, pipelines were rooted in CPU processing at the hardware level.

E-Commerce 52

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

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? 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. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 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

OCTOBER 19, 2023

Flexibility and Adaptability Flexibility is the tool’s ability to work with various data sources, formats, and platforms without compromising performance or quality. Alteryx Alteryx data preparation tool offers a visual interface with hundreds of no/low-code features to perform various data preparation tasks.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Actian

JUNE 17, 2019

The key to converting data into actionable insights is having the right set of tools and a structured method for processing data through a value stream to generate progressive levels of refinement. There are only 2 levels of refinement (aggregation into the warehouse and curation into reports) occurring.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Astera

NOVEMBER 13, 2023

But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. What is an Enterprise Data Warehouse (EDW)?

Data Warehouse 52

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

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

Business Analysis Knowledge Share

OCTOBER 27, 2023

Introduction In today’s data-driven landscape, businesses have recognized the paramount importance of harnessing the power of data to stay competitive and agile. Business Intelligence (BI) has emerged as a critical tool for organizations seeking to gain insights from their data and make informed decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Astera

DECEMBER 18, 2023

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis. daily or weekly).

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Actian

JULY 17, 2019

If your company has existed for a number of years, then you likely have multiple databases, data marts and data warehouses, developed for independent business functions, that now must be integrated to provide the holistic perspective that digitally transformed business processes require. Why are distributed queries problematic?

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Astera

DECEMBER 18, 2023

However, as data volumes continue to grow and the need for real-time insights increases, banks are pushed to embrace more agile data management strategies. Change data capture (CDC) emerges as a pivotal solution that enables real-time data synchronization and analysis. daily or weekly).

Finance 40

Finance Banking Real-time Data Data Warehouse 40

Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

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

Astera

SEPTEMBER 28, 2023

Reverse ETL is a relatively new concept in the field of data engineering and analytics. It’s a data integration process that involves moving data from a data warehouse, data lake, or other analytical storage systems back into operational systems, applications, or databases that are used for day-to-day business operations.

Data Warehouse 52

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

Domo

MAY 24, 2021

According to Gartner , data integration is “the consistent access and delivery of data across the spectrum of data subject areas and data structure types in the enterprise to meet the data consumption requirements of all applications and business processes.”

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Actian

DECEMBER 9, 2018

Do you find your data is slowing your decision-making processes and preventing you from being truly agile? Imagine what you could do if you were to harness the power of real-time data. Modern businesses operate in a constantly changing, intensely complex and data-rich environment.

Data Warehouse 40

Data Warehouse Real-time Data Data Quality Agile 40

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

APRIL 7, 2023

Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

AUGUST 8, 2023

Data Validation: Astera guarantees data accuracy and quality through comprehensive data validation features, including data cleansing, error profiling, and data quality rules, ensuring accurate and complete data. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Data Pine

OCTOBER 25, 2022

However, the successful implementations profiled in the book share some fundamental principles that each agile BI solution should follow. Consequently, you will be able to base your business decisions on real-time data rather than your gut feeling – which is priceless in today’s world. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Actian

JULY 8, 2019

Data starts aging from the time it is created, not when it is collected and added to a data warehouse. It is important to understand when your data was collected and how current the data is you ingest from different data sources. Digital business processes require real-time data to be effective.

Data Warehouse 40

Data Warehouse Real-time Data Data Management Agile 40

Actian

AUGUST 27, 2019

Our data shows that over 4 in 5 IT decision-makers (ITDMs) say one of the most painful parts of data analytics is how long it takes to deploy, yet businesses who can leverage more of their data sooner and more often for actionable insights outpace competitors who are less agile.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40

Actian

AUGUST 27, 2019

Our data shows that over 4 in 5 IT decision-makers (ITDMs) say one of the most painful parts of data analytics is how long it takes to deploy, yet businesses who can leverage more of their data sooner and more often for actionable insights outpace competitors who are less agile.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40

Actian

SEPTEMBER 3, 2019

Gone are the days of data at rest and stagnant data lakes – enterprises need to consume data rather than just store it, and ensure all of the data accessible to them is leveraged. . Only 25% of enterprises with access to the data they need, have the freshness or recency of data they desire.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40

Actian

SEPTEMBER 3, 2019

Gone are the days of data at rest and stagnant data lakes – enterprises need to consume data rather than just store it, and ensure all of the data accessible to them is leveraged. . Only 25% of enterprises with access to the data they need, have the freshness or recency of data they desire.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40

Astera

APRIL 10, 2023

Source: Gartner As companies continue to move their operations to the cloud, they are also adopting cloud-based data integration solutions, such as cloud data warehouses and data lakes. This is where self-service solutions for data integration come into play. Real-time Data Integration Every day, about 2.5

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52

Data Pine

FEBRUARY 22, 2022

A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data. Save time and money: Thinking carefully about a BI roadmap will not only help you make better strategic decisions but will also save your business time and money.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Insight Software

NOVEMBER 14, 2023

This is compounded when transactions are spread across multitudes of tables and when drilldowns to transactional data are slow and manual. Users need to go in and out of individual reports to get specific data they are looking for. Wands for Oracle also has a 94% customer retention rate and high levels of customer satisfaction.

Real-time Data 52

Real-time Data IBM Maintenance IBM Support Finance 52

Insight Software

JULY 17, 2023

Your customers and their users need real-time data to tell an engaging, flexible, and accurate story to drive impactful business results. To tell a unique, memorable story your end-users need rich, real-time data insights to drive that messaging home. Patrick has mastered the art of data storytelling.

Real-time Data 52

Real-time Data Data Visualization Visualization Embedded Analytics 52

Insight Software

MARCH 20, 2024

Traditional reporting methods often require technical skills to build queries and wrangle data, creating a bottleneck for finance teams who lack in-house expertise. This reliance on IT for reports can lead to delays and frustration, hindering your team’s ability to be agile and responsive.

IBM Support 52

IBM Support Supply Chain IBM Maintenance Finance 52

Insight Software

APRIL 18, 2024

You now must connect organizational data and enable agility across all relevant stakeholders if you hope to achieve profitability. Modern finance leaders like yourself must invest in the right technology to effectively connect data for real-time planning and analysis.

Planning 52

Planning IBM Maintenance IBM Support Finance 52

Insight Software

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52

Insight Software

MARCH 24, 2024

Integrating this data with tax reporting tools ensures that both teams are working with the same financial information, reducing discrepancies and errors. Real-time Data Updates. EPM tools typically offer real-time or near-real-time data updates, allowing finance and tax teams to access the latest financial information.

Finance 52

Finance IBM Maintenance IBM Support Supply Chain 52

Insight Software

NOVEMBER 7, 2023

The need for greater efficiency and more accurate forecasting led CFOs to re-evaluate the tools and processes on hand and their ability to overcome skills shortages and drive agility. Technology that increases efficiency by simplifying reporting processes is important for finance teams to connect data, enable agility, and drive profitability.

IBM cost 52

IBM cost IBM Maintenance Finance IBM Support 52

Insight Software

DECEMBER 8, 2023

Our recent Finance Team Trends Report indicates that last year, over 48% of finance teams experienced efficiency losses amidst global economic disruptions, emphasizing the critical need for adaptability and agility in 2024. Process Runner GLSU : Streamline routine financial processes and FICO data entry without adding complexity.

Finance 52

Finance IBM Maintenance IBM Support Supply Chain 52