Data Strategy

Lots of companies want to use artificial intelligence to boost productivity but don’t know where to start. We believe that the best place to start is always with the data. An effective strategy governing the availability, quality, and security of data is an essential prerequisite to successful AI implementation.

All organisations have proprietary data pertinent to their unique business processes. Likewise, external data sources exist that are relevant to each business’s particular sector and customer base. This data has intrinsic value, but this value cannot be accessed if it is unavailable. Once made available it’s impact must be realized and understood by gaining insight through coherent and rigorous data analysis.

The best decision making is data driven. Pivoting an enterprise towards a data first paradigm can be disruptive. Incorporating AI and systematic analytics into work processes can meet resistance from managers and employees alike. Furthermore, leaders must consider the potential social and environmental impact of AI systems as well as industry and market specific regulatory restrictions. That is why it is essential that there is executive level agreement on data project implementation.

Hawken Analytics can help your company retrieve and process data from multiple sources, both internal and external. We can provide data analysis services and furthermore train your team to analyse data effectively themselves. In partnership with your management team we can identify high-value workflows within your business processes that exhibit the right characteristics for automation and AI augmentation. We can accompany you on your data and AI journey ensuring that your organisation remains at the cutting edge of analytics.

Business Intelligence

The goal of business intelligence is to leverage the data available to provide insights into trends, patterns and performance.

In less data driven organisations complex decisions are made based solely on past experience or intuition, even instinct. However, when decisions are made without looking at what the data has to say perception can be far from reality. Inferences derived from data driven insights can be used to provide better and more robust decision making. Often the actionable insights derived from data will support our past experience. Sometimes though insights can be counterintuitive.

A modern data analytics framework will include well designed dashboards, clear data visualisations, and automated reporting built upon a robust computational infrastructure.

With a well understood context, algorithms and statistical models enable leaders and decision makers to extract insights from business data. A solid understanding of the statistical significance of results is important because decisions based on poor analysis can carry significant reputational risk.

Hawken Analytics can help your business develop key performance indicators aligned with your business processes. A well aligned business intelligence strategy will accelerate innovation in your business. We can design and implement modern analytics dashboards that can optimise business operations and improve the customer experience.

Artificial Intelligence
& Machine Learning

We are currently seeing a boom in the uptake of AI systems by leaders across a wide spectrum of industries. Artificial intelligence is the biggest disruptor to established industry of the decade, and arguably the century. Generative AI is already having a profound effect on the workplace. Artificial intelligence is now more accessible than ever thanks to the increasing usability of AI interfaces and the popularisation of AI tools.

The core principles behind generative AI and traditional ML remain the same. All AI and ML algorithms convert data types such as text, images, video or audio data into numerical representations. The algorithms then identify patterns and relationships within and between the data that can be exploited. Traditional ML looks for trends and correlations that can be used to gain insights whilst generative AI seeks to produce new data that can be useful for tasks.

To properly leverage the recent wave in AI advancements leaders must identify the specific business processes that exhibit the right characteristics to be automated or augmented by generative and classical AI. Often, outside help is needed to highlight those parts of the business that are best placed to benefit from the technology and where it can have the highest impact.

We offer bespoke AI solutions tailored to the specific needs of your business. We can build both generative AI and classical machine learning based applications, depending on your use case.

For many businesses bespoke AI tools may not be necessary. Off the shelf solutions may exist that are more appropriate. This can vary heavily by sector. We can help to integrate such tools into your production workflows and coach your staff on best practices.