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Data has quickly become one of an organisation’s most valuable assets. However, few organisations have been able to make the leap from laggards to leaders that creates value through and from, their data.
One of the reasons for this is that some organisations are still pursuing siloed, manual reporting rather than committing to integrating and automating their data. This has caused their data and analytics professionals to spend the majority of their time on data extraction, validation, and transformation, adding little value to the business, rather than working on creating meaningful data–driven insights.
To help organisations accelerate their data transformation, Intellify has helped large enterprises build out their data lakes and data warehouses to support automated operation data processing and reporting across their business. Helping their analysts, developers, and data scientists to focus on those activities that matter most to the business.
Scalable data in real time?
This used to be a pipe dream for large enterprise. The problem is with so many data sources, it's hard to know what to prioritise and where to start to unlock the most value.
Our consultants work with you to implement Amazon Kinesis Data streams, unlocking the power of your data, enabling scale for future business growth and helping you differentiate by being a step ahead of your competitors with real time data- driven insights.
Are you looking to automate the manual, ad-hoc reporting that happens across your business to free up your analysts?
Our consultants will work with your teams to identify the most valuable reporting use cases and their related data sources and transformations, so that an integrated, automated data reporting solution can be rolled out across the business.
Are you looking to extend your business intelligence capabilities by incorporating ML and AI into your BI solution?
As an AWS Machine Learning competency partner, we can help you to understand and implement the best practices combining descriptive and predictive analytics.
We help our clients’ get the most value out of their machine learning platforms by starting with problems, not solutions.
We consult with your different stakeholders to understand their most pressing challenges and requirements.
Once captured, we work iteratively and dynamically with your team to architect and implement the best possible solution.
Through our demonstration of outcomes for customers as well as our technical frameworks and skills, we have been recognised by Amazon Web Services by being awarded the AWS Partner of the Year for Data, Analytics & Machine Learning, and 1 of 2 Machine Learning Competency Partners in Australia and New Zealand.
Our data scientists and engineers have been working on and with Amazon SageMaker since Day 1. In the process of delivering tens of machine learning projects using Amazon SageMaker, our team has learned the platform inside and out.
We help our clients come up with unique and impactful solutions through cross-pollinating ideas and techniques that are successful across different industries and domains.
We pride ourselves on our ability to deliver results quickly. We do this by leveraging our experienced consultants, Intellectual Property, and unique delivery frameworks.