Using analytics to deploy data science more effectively

irishtimes.com | January 23, 2020

Using analytics to deploy data science more effectively
In 2013 Declan Murphy faced a big career upheaval after a global merger at the company for whom he worked. A redundancy cheque was offered and Murphy accepted, thinking he might use it to do something for himself.While mulling his options he began looking for another job and quickly discovered shortcomings in the recruitment process. “I had no idea that recruiters were spending anything from 20 to 40 minutes ‘processing’ a candidate’s CV to put it into a particular format and style,” he says. “I couldn’t believe there was no software to do that and kicking the idea around with my sister Orla, who leads the Digital Humanities faculty at UCC, it became clear that here was a definite market opportunity.Murphy immersed himself in the world of data analytics with a view to developing solutions to enable companies in the HR, legal and financial services sectors to use data science more effectively. He ran his idea past Science Foundation Ireland and it connected him to Dr Brian Davis at the Centre for Data Analytics at NUIG who saw the potential to apply some of the centre’s research in a commercial setting.

Spotlight

Omega World Travel chose MicroStrategy to power their analytics application, Omegalytics, which has enabled them to improve operations and deliver powerful reporting and data visualization to travel customers.


Other News
DATA SCIENCE

J.P. Morgan launches U.S. Applied Data Science Value Fund, harnessing the power of data science to amplify expertise in fundamental investing

J.P. Morgan | December 18, 2021

J.P. Morgan Asset Management has recently launched its first mutual fund employing a data science-driven investment process, combining fundamental research, data insights, and risk management to identify attractively priced equity securities. The J.P. Morgan U.S. Applied Data Science Value Fund (JPIVX) combines the firm's decades of information and data sets accumulated by equity research analysts with the breadth and scale provided by J.P. Morgan's data science capabilities. "The end-to-end data science investment process behind the product is the culmination of many years of building, iterating, and improving on the application of AI and ML techniques," said Hamilton Reiner, Head of U.S. Structured Equity for J.P. Morgan Asset Management. "The investment process is driven by machine learning and works off the core belief that there is significant alpha potential in portfolio construction, creating value through both security selection and allocation decisions." The fund represents the collaboration of existing teams including data scientists, technologists, and fundamental analysts. Together the teams created infrastructure to construct a cloud-based process that can analyze information at tremendous scale. "Our investors have long used data as part of their research process. We have used our decades of proprietary data and expertise to build upon that tradition, leveraging the power of the cloud and our data science capabilities in order to analyze an ever-increasing volume of information. We're able to apply that scale of information and insight to our investment decision-making processes," said Mr. Reiner. The firm has been working toward this combination of fundamental investment management and data science for some time, culminating in a new business unit to focus on the application of AI/ML to its business. "We started the build out of our data science and equity data science teams about six years ago and have been applying capabilities across our investment teams,Our new Investment Platform unit seeks to amplify the application of those capabilities, creating future-state strategies for our clients, and bringing under one roof our unique talent in investment data, data science, equity trading & analytics, derivatives and broker relationships." Kristian West, Global Head of Investment Platform for J.P. Morgan Asset Management The U.S. Applied Data Science Value Fund is managed by portfolio managers Eric Moreau, Wonseok Choi, and Andrew Stern, part of the U.S. Structured Equity team led by Hamilton Reiner. About J.P. Morgan Asset Management J.P. Morgan Asset Management, with assets under management of $2.7 trillion (as of 9/30/2021), is a global leader in investment management. J.P. Morgan Asset Management's clients include institutions, retail investors and high net worth individuals in every major market throughout the world. J.P. Morgan Asset Management offers global investment management in equities, fixed income, real estate, hedge funds, private equity and liquidity.

Read More

BIG DATA MANAGEMENT

ListenFirst Announces BI Connector For Tableau

ListenFirst | January 13, 2022

ListenFirst, the premier enterprise social analytics solution, today announced the launch of BI Connector for Tableau, providing their customers with an interface to connect directly to the ListenFirst API and access data on-demand within their Tableau dashboard. This new feature introduces codeless integration and enables ListenFirst customers to tell a multitude of stories by manipulating and layering different insights within Tableau's 24 visualization types and reporting customizations. Available in Tableau's app directory, ListenFirst's BI Connector for Tableau creates a quicker, more seamless way to get bulk selection of data without needing frontend access. Reporting cycles are readily available in Tableau by utilizing dynamic date ranges to automatically refresh the latest insights in the desired date range and parameters. "More than half of ListenFirst API customers use Tableau, and BI Connector For Tableau creates a quick path to insights for these data power users," explained Jimmy Li, Product Manager at ListenFirst. "Users can now effortlessly conduct cross data source analysis, on-demand reporting, advanced charting, and data visualization. Additionally, insights can be published side by side with other data points from non-ListenFirst sources, simplifying complex stories into insights that are instantly understandable." Optimized for self service, BI Connector for Tableau supports flexible data queries for brand, content and paid level datasets. About ListenFirst ListenFirst is the premier social analytics solution used by the world's leading brands. With a breadth of data and award-winning expertise unmatched in the market, we offer an easy, one-stop solution to optimize social media marketing and maximize ROI. ListenFirst has been honored with multiple accolades including a 2020 SIIA CODiE Award for Best Emerging Technology, 2020 Cynopsis AdTech Award for Outstanding Data Solution, 2022 High Performer recognition from G2 Crowd, MarTech Breakthrough Award for Best Social Media Monitoring Software, and named one of Inc. 500's fastest growing companies. Founded in 2012, ListenFirst is trusted by leading global brands including AT&T, Amazon, NBCUniversal, and Peloton.

Read More

BUSINESS INTELLIGENCE

Qontigo extends sustainability offering to portfolio construction and analytics tools

Qontigo | January 11, 2022

Qontigo, a leading provider of innovative risk, analytics and index solutions has made available ISS ESG, Clarity AI and Sustainalytics data within its financial optimizer, Axioma Portfolio Optimizer (APO). Sustainalytics will also be integrated into Axioma Portfolio Analytics (APA) for performance attribution and reporting as well as Axioma Risk Model Machine (RMM), which allows users to create custom risk models. With this direct integration into Axioma portfolio construction tools, asset managers, wealth managers and asset owners will be able to construct portfolios actively tilting towards a combination of ESG attributes; identify point-in-time ESG exposures; create desired hedges; develop custom risk models that explain risk and return; and run performance attribution based on ESG attributes. Using its proprietary Risk Entity Framework, Qontigo is able to consolidate and normalize sustainability-linked content from multiple sources, ensuring consistency across multiple asset classes. "We know that there's a great need for sustainability to inform the investment process and so it's important for us to offer clients a breadth of best-in-class content," said Chris Sturhahn, Chief Product Officer for Analytics at Qontigo. "Clients running strategies with ESG-linked goals – from climate to impact – may already be working with a number of vendors, but they can now benefit from more seamless data integration with leading analytics tools for portfolio construction, risk and reporting, which could result in lower total cost of ownership." The forthcoming introduction of sustainability content into Axioma multi-asset class, cloud-native offerings will enable investment managers to also manage their portfolios with respect to a wide spectrum of sustainability-linked investment targets, as well as generate output that helps with sustainability-linked management, investor and regulatory requirements. "We are pleased to offer our market-leading ESG data through the Axioma Portfolio Optimizer, initially starting with a focus on climate and encompassing emissions data, physical and transitional risk metrics, and scenario data across approximately 28,000 issuers," said Dr. Maximilian Horster, Head of ISS ESG, the responsible investment arm of Institutional Shareholder Services Inc. "We are excited by the opportunities this partnership affords mutual clients to access class-leading ESG and risk management solutions through an integrated channel." "One dimension of bringing societal impact to markets is providing broad, granular and transparent ESG Risk and SDG Impact analysis, and we are excited to bring that to Qontigo and its clients," said Rebeca Minguela, Founder & CEO of Clarity AI, the global, leading sustainability tech platform. "Instead of applying analysts' subjective assessments, we leverage science-based methodologies and proprietary machine learning to deliver reliable and objective data at scale with exceptionally broad coverage. As a digital-native provider, we lead the industry in offering a comprehensive range of SaaS solutions for sustainability assessment, and integrating into Axioma Portfolio Optimizer creates the opportunity for us to illuminate paths to a more sustainable world for an even wider base of clients." "Sustainalytics is delighted to provide Qontigo's clients with our diverse range of ESG risk and compliance solutions," said Shila Wattamwar, Global Head of Strategic Partnerships at Sustainalytics. "With ESG issues becoming a more central part of the investment decision-making process, investors can now more easily show the ESG risk attributes of their portfolios and report on them by leveraging Sustainalytics' rich ESG solutions in Qontigo's risk and analytics environment. We look forward to building on the success of our relationship with Qontigo and expanding our partnership." Users of APO, APA and RMM will be able to access: ISS ESG Daily Multi-Attribute files covering 2 modules across more than 28,000 entities: Climate Core and Climate Impact Clarity AI ESG Risk ratings as well as SDG Impact metrics, with coverage that extends across 30,000 companies, 135,000 funds, 198 countries and 187 local governments Sustainalytics Daily Multi-Attribute files covering 7 modules across more than 25,000 entities: ESG Risk Ratings, Product involvement, Controversial Weapons, Global Standards Screening, Corporate Governance and Controversies Qontigo currently uses ISS ESG and Sustainalytics datasets for the construction of STOXX and DAX indices.

Read More

BIG DATA MANAGEMENT

HealthWorksAI™ Unveils the First Healthcare Data Platform using xAI technology

HealthWorksAI | December 30, 2021

HealthWorksAI™, an industry-leading Healthcare analytics company, announces the launch of the 2nd generation of their state-of-the-art xAI program. It's an advanced analytical approach that collects and processes data, generating in-depth market analysis which standard models do not uncover. Allowing data scientists an efficient way to measure the impact of various plan attributes/factors, xAI provides a better understanding of the correlation between plan features and beneficiary preference. It also provides insights into the influence of multiple verticals at the market level. The models are then combined with the human-computer interface (HCI) features capable of translating models into practical explanations for end users. "We use a combination of Rule-based algorithms, Random Forest, and Artificial Neural Networks to develop our proprietary prediction, classification, and performance metrics. Advanced analytics & xAI comes to play in the modeling and evaluation phases of data mining. To achieve this, we use LIME and DeepLIFT, as an example, to achieve far superior results." Shreya, Data Scientist of HealthWorksAI™ The xAI program, released in early 2021, has been a huge success for HealthWorksAI, leading as their most subscribed platform module in its first year. The 2nd generation, which will see releases begin in early Q2, includes multiple platform enhancements as well as new approaches to xAI methodologies. "We're excited to announce the expansion of our xAI program for MA Payors," noted Jereme Ayers, Chief Growth Officer of HealthWorksAI. "One of the defining aspects of our company is the partnership our clients provide. We appreciate their faith and confidence and look forward to delivering even more for them in 2022!" About HealthWorksAI HealthWorksAI™ is a privately held healthcare data analytics company in the US that provides healthcare payors with rapid access to very efficient and insightful Medicare Advantage market data, accurate predictions, and a reliable single source of truth for strategic decision-making.

Read More

Spotlight

Omega World Travel chose MicroStrategy to power their analytics application, Omegalytics, which has enabled them to improve operations and deliver powerful reporting and data visualization to travel customers.

Resources