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

From Excel to Sharepoint, the Microsoft ecosystem is both vast and detailed. One application that has grown in significance in recent years is Power Query, an all-in-one data pre-processing interface that affords a user the capability to seamlessly edit the structure of a dataset and arrange data to fit their objective.

QuantSpark supports a number of asset and investment managers with analytics projects and bespoke software development. Comparing engagements, all our clients have benefitted from QuantSpark’s ability to code, automate, and visualise the valuation heuristics that drive investment decisions, helping them to move away from Excel to a modern analytics solution.

Acquiring skilled talent is crucial to any business. It is a process that can make or break any new venture. As with any important project it can requires a clear scope, buy-in from key stakeholders, and regular monitoring to ensure the right people are hired, onboarded, and become a valued member of the team. QuantSpark Talent outlines four essential stages to the process:

dbt (data build tool) makes data engineering activities straightforward and accessible. It is an open-source tool that can handle data modelling, query orchestration, and documentation. With it, a data analyst need only write simple select statements and dbt handles the rest – transforming those statements into tables and views.

Among the various tools QuantSpark uses to support its clients, WebSockets can facilitate real-time updates as part of wider automation of business processes. Leveraging the use of bi-directional communication protocol and eliminating the downfalls of a slow transfer protocol like HTTP, we can create a range of fast and smooth bespoke apps.

QuantSpark has worked with PE-backed SaaS businesses since 2016 in providing an end-to-end service offering data engineering, dashboarding, predictive analytics, bespoke tool development, and due diligence support.

An update from QuantSpark about our latest analytics and data science projects along with news from the industries we work to support

As social impact and ethical standards become an ever more important driver of global investment, funds that focus on Environmental, Social & Governance (ESG) factors are taking the financial world by storm. But with real value hard to define or quantify, how can investors make the best decisions?

The coronavirus crisis has sent shockwaves through all aspects of the grocer’s business model. To survive in the long-term grocers must look to pivot and optimise their business model using analytics to satisfy the ‘new normal’ of customer demand.