Data and Analytics
Data and Analytics
Organisations have always recognised the value of data driven decision making. But, there are two powerful forces that are really driving business to pay serious attention to Data and Analytics today, Artificial Intelligence and the arrival of Data Fabrics.
It is now more important and easier than ever before to bring together an organisation’s data, curate it, apply good governance and derive value from it starting to deliver on the promise of a data driven organisation.
Data and Analytics Challenges
TEKenable is well aware of the challenges presented by data analytics. We have over the years delivered projects as diverse as fraud detection in financial trading for an investment bank, to sources of profitability analytics for wholesale foods. All require good quality, timely and accessible data coupled with a capable suite of tools for analysis and, critically, a good sense of what the actionable insight that the analysis would deliver.
The selected platform is also critical to success. We have created data lakes for IoT data, data warehouses for multi-dimensional financial analysis, Hadoop implementations for payment data and struggled with the provision of the required infrastructure and the basic incompatibility of these tools. Today, we have Data Fabric from Microsoft which is a single vertical stack of highly integrated technologies covering all of the above needs and more.
We are delivering projects using Fabric, Synapse and more, for organisations such as local authorities, third level education and financial services.
BENEFITS OF DATA ENGINEERING AND ANALYTICS
Informed Decision Making
Identifying New Opportunities
Enhanced Customer Experience
Operational Efficiency
Risk Management
Structured Data, Big and Small, Meets Unstructured Data in Data Fabric
All the data in an organisation is either structured (formal databases typically) or unstructured (documents) and can be big data such as IoT streams and activity logs or data manageable using more traditional data tools such as data held in ERPs, CRMs.
Today we can offer data management, reporting and analytics solutions that reside on a Data Fabric. Data Fabric is a technology that can unify not just the types of data but also the tools that can be used to organise and analyse it.
With your data in one place along with the tooling needed to analyse it without the effort required to create a data warehouse Data Fabric is a real leap forward, let us show you the power with a demonstration and guided discussion.
1. 70% of organizations will shift their focus from big to small and wide data by 2025.
Data Products
The concept of Data Products represent a fundamental shift in the way data is collected, managed and governed. A Data Product delivers a high quality, ready to use, set of data that is constructed in such a way that it can be easily consumed by people and systems across an organisation and reused across multiple business challenges.
2. Up to 90% faster delivery of new Analytics use cases.
Artificial Intelligence
Probably does not need saying but AI is totally dependent on data, custom machine learning models especially so. Generative AI is pre-trained, and we can apply it to your documents as the data
source to answer questions when the answers are locked up in unstructured sources like Word and PDF
file so less dependent on Data Fabric but still requires data curation and governance.
Machine learning is however 100% dependent on the quality, coverage and availability of data to function at all.
3. By 2024, Gartner predicts 60% of data for AI will be synthetic to simulate reality, future scenarios and derisk AI, up from 1% in 2021.
We have the experience, approach and tools to put you on the right path to creating a best in class Data and Analytics capability in your organisation allowing you to start to deliver on the promise of a data driven organisation.
