openPR Logo
Press release

WEBINAR .: From Data to Decision Unlocking the Power of Automation

07-17-2023 10:40 AM CET | Business, Economy, Finances, Banking & Insurance

Press release from: Capital Quant Agency

WEBINAR .: From Data to Decision Unlocking the Power of Automation

WEBINAR .: From Data to Decision Unlocking the Power of Automation

Capital Quant Agency is an innovative Fintech firm specialized in cutting-edge quantitative analytics solutions, is thrilled to announce its upcoming webinar titled "From Data to Decision Unlocking the Power of Automation". This online event is set to take place on Wednesday, September 6, 2023 at 10 AM (UTC+1) and promises to be an insightful exploration of how automation, transparency and connectivity can revolutionize decision-making in the financial industry.

As financial and capital markets grow increasingly complex and data-driven, making informed decisions is paramount for institutional investors and asset managers. Capital Quant Agency recognizes the challenges faced by these key players and our webinar aims to equip attendees with invaluable insights and practical strategies to address these challenges.

We are excited to present this unique opportunity for industry professionals to explore the untapped potential of automation. Our mission is to revolutionize the financial landscape by providing our clients with the most advanced tools to optimize their decision-making processes and achieve greater success.

To secure your spot and unlock the power of automation in the world of finance, register now for the webinar at https://bit.ly/46HoCEd . After registering via this form, you will soon receive an invitation to attend this virtual webinar. The participation in this webinar is absolutely free of charge for all attendees.

Capital Quant Agency
Casablanca, Region Grand Casablanca Settat, Morocco 20520
M. Reda Hachimy (CEO)
Email: contact@capitalqagency.com
Mobile: 212 6 15 29 29 65
Website: https://www.capitalqagency.com

Capital Quant Agency can help its clients make more informed decisions, increase efficiency as well as revenue through maximizing transparency, automation, and connectivity. Quantitative analytics require robust, interactive and easy-to-use interface.
By leveraging advanced analytics and quantitative resources capable of producing better results for both institutional investors, investment - asset managers, financial institutions and hedge funds.
Our software will help them assess the best investment opportunities, optimize their portfolios and migrate financial risk.

This release was published on openPR.

Permanent link to this press release:

Copy
Please set a link in the press area of your homepage to this press release on openPR. openPR disclaims liability for any content contained in this release.

You can edit or delete your press release WEBINAR .: From Data to Decision Unlocking the Power of Automation here

News-ID: 3132080 • Views:

More Releases for Data

HOW TO TRANSFORM BIG DATA TO SMART DATA USING DATA ENGINEERING?
We are at the cross-roads of a universe that is composed of actors, entities and use-cases; along with the associated data relationships across zillions of business scenarios. Organizations must derive the most out of data, and modern AI platforms can help businesses in this direction. These help ideally turn Big Data into plug-and-play pieces of information that are being widely known as Smart Data. Specialized components backed up by AI and
Global Data Analytics Outsourcing Market |data analytics outsourcing, big data o …
Market Research Reports Search Engine (MRRSE) has been serving as an active source to cater intelligent research report to enlighten both readers and investors. This research study titled “Global Data Analytics Outsourcing Market “ The report on data analytics outsourcing market provides analysis for the period 2016 – 2026, wherein 2018 to 2026 is the forecast period and 2017 is the base year. The report covers major trends and technologies playing
Test Data Management (TDM) Market - test data profiling, test data planning, tes …
The report categorizes the global Test Data Management (TDM) market by top players/brands, region, type, end user, market status, competition landscape, market share, growth rate, future trends, market drivers, opportunities and challenges, sales channels and distributors. This report studies the global market size of Test Data Management (TDM) in key regions like North America, Europe, Asia Pacific, Central & South America and Middle East & Africa, focuses on the consumption
Data Prep Market Report 2018: Segmentation by Platform (Self-Service Data Prep, …
Global Data Prep market research report provides company profile for Alteryx, Inc. (U.S.), Informatica (U.S.), International Business Corporation (U.S.), TIBCO Software, Inc. (U.S.), Microsoft Corporation (U.S.), SAS Institute (U.S.), Datawatch Corporation (U.S.), Tableau Software, Inc. (U.S.) and Others. This market study includes data about consumer perspective, comprehensive analysis, statistics, market share, company performances (Stocks), historical analysis 2012 to 2017, market forecast 2018 to 2025 in terms of volume, revenue, YOY
Long Term Data Retention Solutions Market - The Increasing Demand For Big Data W …
Data retention is a technique to store the database of the organization for the future. An organization may retain data for several different reasons. One of the reasons is to act in accordance with state and federal regulations, i.e. information that may be considered old or irrelevant for internal use may need to be retained to comply with the laws of a particular jurisdiction or industry. Another reason is to
Data Quality and Data Governance Solution Market - Demand For Cost-Effective Dat …
In the enterprise data management ecosystem, data quality is a broad term which refers to the quality, integrity, and consistency of data and/or process etc. Data quality also implies the degree of data accuracy and consistency. On the other hand, data governance focusses on the management of data assets by assigning authority, control, and responsibility of data and encompasses three key areas: people, process, and technology. Data quality and data governance