This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Example: An online retailer moves its e-commerce application from an on-premises IBM WebSphere server using Java EE to AWS for better scalability and performance. The replatforming involves rehosting the application on AWS Elastic Beanstalk migrating the database from IBM DB2 to Amazon RDS for PostgreSQL.
Informatica is an enterprise-grade data management platform that caters to a wide range of data integration use cases, helping organizations handle data from end to end. The services it provides include data integration, quality, governance, and master data management , among others.
Informatica is an enterprise-grade data management platform that caters to a wide range of data integration use cases, helping organizations handle data from end to end. The services it provides include data integration, quality, governance, and master data management , among others.
IBM estimates that the insurance industry contributes significantly to the creation of 2.5 quintillion bytes of data every day, with claims data being a major contributor to this massive volume. Manual processing of this data is no longer practical, given the large data volume.
Alteryx’s data preparation , blending, and cleansing features provide a solution for processing large data volumes. Key Features: Data collection Data processing and presentation Integration with various sources User-friendly interface Multi-server support, backup and recovery, and maintainability.
Artificial Intelligence The benefits of AI, such as accounting support, anomaly detection, and financial analysis are undeniable. However, due to factors like insufficient use cases, lack of necessary technical skills, low-quality data, and a general reluctance to embrace new technology, the finance industry has been slow to adopt AI.
The ever-growing threat landscape of hackers, cyberattacks, and data breaches makes datasecurity a top priority, especially when integrating analytics capabilities directly into customer-facing applications. While these platforms secure dashboards and reports, a hidden vulnerability lies within the data connector.
2024 is set to be a fascinating year in the finance space with advancements that help organizations continue to do more with stretched resources and continued staffing shortages. Prepare for AI adoption by consolidating and positioning your data to efficiently adopt AI tools and functionality. Ready to learn more?
Now, as we head into 2024, CFOs continue to seek balance and efficiency through digital transformation. With interest rates still rising, skills shortages still posing a challenge, and the specter of recession still haunting board rooms, CFOs are looking to technology to connect data, build agility, and drive profitability.
DataSecurity : Again in 2023, we saw that ensuring datasecurity in embedded analytics is crucial to protecting sensitive information and maintaining the trust of users. Securedata transmissions and authentication mechanisms both played key roles in the security real for embedded analytics.
Forrester Research predicts that the embedded analytics market will hit $16 billion in 2024. Ventana Research predicts that over two-thirds of business unit teams will enjoy immediate access this year to an integrated cross-functional analytics platform seamlessly embedded within their workflow activities and processes.
Pressure for on-demand data insights is increasing as potential buyers look for intuitive, but deep analytics functionality to help navigate their business through these uncertain economic times. Here are three key data-literacy-boosting features to look out for: 1. Self Service Not to be confused with ‘simplicity’.
If the operating theme for finance teams in 2024 was “automate workflows and optimize costs to drive value,” then the operating theme for 2025 is shaping up to be, “stay the course.” Add in continuing geopolitical instability, and it’s easy to see why operating plans for 2025 are unlikely to look significantly different from 2024 plans.
We organize all of the trending information in your field so you don't have to. Join 57,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content