Userzoom

JULY 31, 2019

Usually, we think data lives somewhere on a server; my bank account balance is at my bank’s server, my viewing history is on a server somewhere at Netflix. My bank and Netflix own that data and I have to trust them to keep it all accurate. It’s anyone’s game.

Banking 56

Banking Big Data Artificial Intelligence Data Warehouse 56

Actian

JULY 26, 2019

So, you have made the business case to modernize your data warehouse. But how do you effectively go about choosing the right data warehouse to migrate to? The business benefits of data migration can be compelling. Where to find this mythical hybrid data warehouse of the future today? Good choice!

Data Warehouse 40

Data Warehouse Government Predictive Analytics Banking 40

Astera

FEBRUARY 9, 2024

End-to-End Credit Risk Assessment Process The credit risk assessment is a lengthy process where banks receives hundreds of loan applications daily from various channels, such as online forms, email, phone, and walk-in customers. The data pipeline is prone to errors and failures, such as network issues, server downtime, data corruption, etc.

Banking 52

Banking Data Warehouse Data Quality Data Security 52

Astera

DECEMBER 18, 2023

From managing customer transactions and financial records to dealing with regulatory requirements and risk management, data plays a crucial role in every aspect of banking operations. This data is categorized as big data, a term denoting “large, diverse sets of information that grow at ever-increasing rates.”

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Tableau

MARCH 9, 2021

Accenture EMEA has been and continues to invest in developing brand-new solutions to serve our mutual customers in banking, manufacturing, healthcare, and communications, and we look forward to continued success in 2021. Congratulations Accenture EMEA! . Technology Partner of the Year: Snowflake.

Healthcare 98

Healthcare Data Warehouse Banking Digital 98

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. What Is Amazon Redshift? 

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

Tableau

DECEMBER 22, 2020

Accessibility and scalability of the dashboard resulted in faster time to market and adoption by nearly 70 local authorities, emergency services, and charities now using “data for good.” . But foundational data skills are necessary to get people engaged and using data and analytics properly. Optimizing costs. For example, St.

Government 91

Government Data Warehouse Banking Innovation 91

Argon Digital

AUGUST 11, 2022

Reduce your risk – Manually processing and storing paper documents comes with built-in risks, such as data entry mistakes, lost documents, slow processing, security breaches, and even the risk of flood or fire destroying your archives.

Documentation 105

Documentation Artificial Intelligence Data Warehouse Banking 105

The BAWorld

SEPTEMBER 18, 2024

Load : The formatted data is then transferred into a data warehouse or another data storage system. ELT (Extract, Load, Transform) This method proves to be efficient when both your data source and target reside within the same ecosystem. Extract: Data is pulled from its source.

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

Astera

DECEMBER 18, 2023

From managing customer transactions and financial records to dealing with regulatory requirements and risk management, data plays a crucial role in every aspect of banking operations. This data is categorized as big data, a term denoting “large, diverse sets of information that grow at ever-increasing rates.”

Finance 40

Finance Banking Real-time Data Data Warehouse 40

The BAWorld

DECEMBER 23, 2023

These requirements can range from simple to highly complex, involving the creation of data warehouses and analytics reports. Understanding data analysis techniques, including exploratory data analysis, is also valuable in this role. The flexible schedule allows professionals to balance learning with work commitments.

Banking 52

Banking UML Business Analysis Business Analysis 52

Sisense

FEBRUARY 16, 2021

Data warehouses have become intensely important in the modern business world. For many organizations, it’s not uncommon for all their data to be extracted, loaded unchanged into data warehouses, and then transformed via cleaning, merging, aggregation, etc. OLTP does not hold historical data, only current data.

Data Modelling 52

Data Modelling Data Warehouse Banking Real-time Data 52

Actian

JANUARY 31, 2020

These past four decades are distinguished both by industry-leading technology innovation (>50 patents) and by an unequaled record of service to some of the most data-intensive enterprises on their most mission-critical data challenges. 2020 is also a milestone of new capabilities for Actian products.

Data Warehouse 40

Data Warehouse Banking Visualization Vision 40

Astera

FEBRUARY 9, 2024

Data Loading The IT team configures a secure connection to BankX’s data warehouse using Astera’s Data Connectors. Astera has native connectors for various data warehouses, such as Amazon Redshift, Google BigQuery, or Snowflake, and can also load data into other destinations, such as files, databases, etc.

Data Warehouse 52

Data Warehouse Data Quality Data Security Monitoring 52

Astera

APRIL 9, 2023

The AI template-based approach allows organizations to automate document processing as the captured data becomes part of the data pipelines that feed data into their data warehouse. This can help the bank streamline its processes, reduce errors, and improve its customer service.

Documentation 52

Documentation Healthcare Banking Finance 52

Sisense

MAY 27, 2019

You’ve got a strong bank of existing customers whose business you can grow. Plus, an understanding of machine learning and AI is becoming more important, as software engineers start to work with neural networks, and data engineers will need to prepare data pipelines to feed these neural networks. Let’s paint a happy picture.

Skillset 75

Skillset Cloud Computing Visualization Big Data 75

Sisense

JULY 14, 2019

from a few years ago features a scene wherein a character scatters USB sticks outside a police department, banking on human curiosity getting the better of one of the officers. Cloud-native warehouses like Snowflake aren’t willing to lose ground in the data security game, either. Security Starts with People. The TV show “Mr.

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

Tableau

MARCH 9, 2021

Accenture EMEA has been and continues to invest in developing brand-new solutions to serve our mutual customers in banking, manufacturing, healthcare, and communications, and we look forward to continued success in 2021. Congratulations Accenture EMEA! Technology Partner of the Year: Snowflake.

Healthcare 52

Healthcare Data Warehouse Banking Digital 52

Astera

JUNE 14, 2023

Low data latency: OLTP systems offer low data latency and provide real-time data updates, ensuring immediate availability of updated data to users.This is important for applications that require real-time data access and responsiveness. Astera Data Warehouse Builder supports various data sources and formats.

Supply Chain 40

Supply Chain Data Warehouse Financial Analysis Real-time Data 40

Sisense

AUGUST 9, 2021

With Notebooks, users can query data from any data source, visualize results in custom charts, or even take analytics further using procedural code before visualization. In addition to visualization, outputs can be materialized or serialized to any destination, including cloud data warehouses.

Data Security 52

Data Security Product Management Product Management Data Warehouse 52

Tableau

DECEMBER 22, 2020

Accessibility and scalability of the dashboard resulted in faster time to market and adoption by nearly 70 local authorities, emergency services, and charities now using “data for good.” . But foundational data skills are necessary to get people engaged and using data and analytics properly. Optimizing costs. For example, St.

Government 52

Government Data Warehouse Banking Innovation 52

Data Pine

JULY 1, 2020

At datapine, we’ve invested an incredible level of time and effort in developing an enterprise-level security layer akin to core banking applications. As a result, it’s possible to copy existing data into our data warehouse to speed up your workload or retain your data in-house by connecting datapine to your server remotely.

Retail 104

Retail Healthcare Visualization Business Intelligence 104

Astera

APRIL 27, 2023

ETL process allows businesses to apply a complete data integration strategy with the goal of preparing data for business intelligence (BI). The apparent outcome is data consolidation in a central data warehouse and data assimilation into a single format.

E-Commerce 52

E-Commerce Data Mining Documentation Data Warehouse 52

Astera

APRIL 27, 2023

ETL process allows businesses to apply a complete data integration strategy with the goal of preparing data for business intelligence (BI). The apparent outcome is data consolidation in a central data warehouse and data assimilation into a single format.

E-Commerce 52

E-Commerce Data Mining Documentation Data Warehouse 52

Astera

JULY 11, 2024

COBOL-Based Applications Description: Applications written in COBOL (Common Business-Oriented Language), often used in banking, insurance, and government sectors. Example: Core banking systems that handle transactions, account management, and customer data. What Kind of Organizations Use Legacy Systems?

IBM Maintenance 40

IBM Maintenance IBM Support IBM cost Supply Chain 40

Astera

JUNE 14, 2023

The ultimate goal is to convert unstructured data into structured data that can be easily housed in data warehouses or relational databases for various business intelligence (BI) initiatives. In banking and finance, document data extraction streamlines loan and mortgage processing.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Astera

DECEMBER 22, 2022

Let’s look at a transformation example: suppose a bank acquires an insurance firm. The payroll generation process would be straightforward if all the employee data was stored in a unified system, such as a data warehouse or database.

Data Warehouse 52

Data Warehouse Banking Data Quality Documentation 52

Astera

JUNE 14, 2023

Integration and Data Delivery: Data capture solutions integrate with other systems and applications within the organization’s technology ecosystem. The extracted data can be seamlessly delivered to downstream systems, such as visualization tools or data warehouses.

Documentation 40

Documentation Digital Visualization Data Warehouse 40

Astera

MAY 6, 2024

Data mining tools help organizations solve problems, predict trends, mitigate risks, reduce costs, and discover new opportunities. A key aspect of data preparation is the extraction of large datasets from a variety of data sources. Transformation and conversion capabilities are another crucial component of data preparation.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

The BAWorld

NOVEMBER 22, 2021

Online analytical processing is software for performing multidimensional analysis at high speeds on large volumes of data from a data warehouse, data mart, or centralized data store. For example, accurate data processing for ATMs or online banking. Data Warehouse. Data Wrangling.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

The BAWorld

APRIL 21, 2021

Data is extracted from an online transaction processing (OLTP) database and other sources, transformed to match the data warehouse schema, and loaded into the target (data warehouse/data hub/data lake) database during the ETL process. Importance of ETL.

Data Warehouse 52

Data Warehouse Data Visualization Visualization Banking 52

The BAWorld

SEPTEMBER 2, 2021

Think about the different apps on your smartphone – Uber, Facebook, Instagram, Health, Siri, photos, music playlist, banking, etc. We generate enormous amounts of a variety of data every day. Non-technical users can also work easily with structured data. Structured Data Example. Wow, let us try and imagine this!

Big Data 52

Big Data Data Warehouse Data Visualization Visualization 52

The BAWorld

OCTOBER 8, 2020

Cleaning involves handling null values, outliers, duplicate values, synchronizing data to correct formats and much more. Data can be stored in a data warehouse or any other system suitable to the business. The post What is Data Analytics? appeared first on The BAWorld - A Techcanvass Blog.

Data Analytics 59

Data Analytics Data Analytics Retail Data Warehouse 59

Astera

NOVEMBER 30, 2023

With over 70% of customers emphasizing the importance of personalized offers in banking, it’s evident that people highly value tailored experiences from their financial institutions. However, despite this strong customer preference, only 14% of banks have embraced personalized banking. What is Personalized Banking?

Banking 52

Banking Finance Data Security Data Warehouse 52

ElegantJ BI

APRIL 13, 2017

Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for data warehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions.

Business Intelligence 204

Business Intelligence Business Intelligence Logistics Data Warehouse 204

ElegantJ BI

APRIL 13, 2017

Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for data warehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions.

Business Intelligence 130

Business Intelligence Business Intelligence Logistics Data Warehouse 130

ElegantJ BI

APRIL 13, 2017

Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for data warehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions.

Business Intelligence 130

Business Intelligence Business Intelligence Logistics Data Warehouse 130