Here we review Snowflake, a cloud-based data platform, that has emerged as a game-changer with its powerful data-sharing feature. The platform will be an important feature in the toolkit for financial services for staying ahead in the competitive landscape of data science and analytics.

Embracing optimised store-specific space plans is a strategic imperative for modern day retailers. By optimising space utilisation, adapting to dynamic market shifts and enhancing shopping experience by identifying and catering to unique customer missions, macro space optimisations empower retailers to craft customised strategies for each of their locations.

Streamlit has emerged as a game-changing technology in supporting the process of building lightweight web applications, enabling us to transform models into functional, user-friendly applications at speed, requiring minimal writing of code.

As part of our ongoing commitment to innovation for our clients, QuantSpark has built ‘AskQS’, a new AI-powered assistant that plugs into corporate networks and empowers employees for effortless knowledge discovery.

Access to the right tech talent is essential for investors to drive value creation at the portfolio level. But how should you choose the best team for your situation?

Advanced analytics can help predict customer churn and inform proactive outreach. But models must provide actionable insights and build trust to drive value.

GPT-4 and other AI advancements have the potential to cause significant disruptions in society, altering both jobs and business models forever.

Google Cloud Platform (GCP) is a leading cloud computing platform offering a wide range of services, including computing, storage, databases, big data analytics, and machine learning tools, with key advantages such as scalability and cost-effectiveness.

The analytics diagnostic is an essential tool for understanding how an organisation can use data to drive strategy, accelerate ways of working, or simply to make money. Over short sprints, QuantSpark identifies and ranks these opportunities according to feasibility and ROI, creating a supporting roadmap to develop high priority items.

Whilst a long-tail of products makes economic sense, the larger the assortment the more reliant the retailer is on automated pricing strategies which can often require sophisticated analytics.

Using data analytics can help SaaS businesses – and their private equity backers – make strategic decisions with more confidence. We explain the science behind revenue forecasting, and the revenue forecasting methodology recently developed for a private equity client.

Evolving analytics in asset management doesn’t mean leaving Excel behind.

Yet it does present some areas for improvement: difficulties extracting insights from disparate data; complex-to-interpret calculations and functions.

We take a creative approach to this for asset management clients, building bespoke solutions that evolve — rather than interfere with or replace — their business-critical Excel models.

PE investors: Are you prioritising data integration in buy and build?

For a buy and build strategy to succeed, clarity on how each business is performing is essential.

This often requires integrating data from disparate company systems — key for both short-term operations and longer-term validation of investment hypotheses.

With a solid, integrated data backbone, you can later generate the visualisations you need to present a watertight exit valuation case.

Google Analytics is a web service that provides information and statistics from their search engine use as well as analytical tools to help with search engine optimisation (SEO) and advanced marketing. Google Analytics can provide insight into the activities of a customer from the first click to their last click, following their journey through your site