Advanced Logic Analytics Unveils ALA OneLogic To Deliver Leading-Edge Big Data Analytics Solutions for Financial Firms
Commenting, Nick Ellis, managing director at ALA said: “Big data is complex and in itself it does not create value.” “Firms that become masters of their data using sophisticated analytics will draw unlimited benefits, such as: enhanced strategic decision making, innovation, regulatory compliance, higher returns on investment styles, and increased operational efficiency,” he continued.
ALA OneLogic offers:
Big Data Analytics: Deployed as a primary source of business innovation, the advanced big data analytics capabilities of ALA OneLogic allow financial firms to conduct sophisticated data analysis, across business functions, at industry-leading scale and speed, regardless of where and how the data resides.
Firms can analyse, process and make sense of the ever-growing amounts of structured and unstructured data, in real-time, and undertake pre-emptive, descriptive, and predictive edge analytics augmented with behavioural and emotional analytics.
Integrated with broad in-database applied machine-learning analytic capabilities and open source innovation, ALA OneLogic means firms can solve big data problems faster and at lower costs.
Compliance: ALA OneLogic offers deeper big data compliance analytics so firms can plan for, and successfully manage, evolving regulatory obligations. It captures all classifications of multi-jurisdictional regulatory data, performs analysis and generates reports using a single, integrated view across databases, files, applications, the cloud and the data lake.
ALA OneLogic is MiFIDII-prepared and ready to help financial firms address the regulation’s data-centric obligations.
Finance Analytics: Using best of breed algorithms, developed from over 10 years of academic research, ALA OneLogic offers a number of robust and sophisticated financial analytics models to help investors achieve higher returns across a spectrum of investment styles, including: Portfolio Construction, Sentiment Analysis, Mean-Variance and Stochastic Dominance, Asset and Liability Management, Robo-Advisor, and more.
Delivery Models: Flexible deployment options include: ‘on premise’, ‘in the clouds’, API, BI, APP and in Hadoop data lakes