HSO DNA Accelerator
Data plays a crucial role in any organisation. Gaining a deeper understanding helps unlock some of the following business benefits through Data Analytics:
- Empower Users
- Identify Opportunities
- Increase Performance
- Provide competitive advantage
- Optimise Internal Operations
- Transform your business
- Insight into selling & buying behaviours
HSO DNA Accelerator allows organisations to get a head start in their digital transformation journey. Providing a Modern Data Analytics platform that is flexible, scalable and reliable. Allowing the collection, ingestion and processing of various data types in all shapes and sizes from any data source.
A data driven culture is critical for today’s businesses to thrive. Microsoft Azure provides the connectivity to bring together all of your data, at scale, with performance to match. This ensures your data is protected through advanced security, industry and regional compliances.
HSO DNA Accelerator utilises Microsoft Azure’s benefits in the following areas:
- Connectivity – Ability to connect various data sources of any type and size
- Performance – Utilising the power of Azure through its capability to meet your data demands; large or small
- Scalability – Ensure the demands of your data requirements are met not only today but for the future through Microsoft providing opportunity to expand your architecture effortlessly, ensuring optimum performance
- Security – Microsoft provides leading industry security throughout their Azure offerings, ensuring your data is protected
Bringing Data Together
Historically data consumed for Data & Analytics was often in a structured format that resided in one or two data sources in a database. Today businesses are looking forward, becoming a data driven organisation isn’t optional it is a requirement in order to stay ahead.
Having the right Data Analytics Platform that can meet the growth demands of both the business and data consumption is essential. Having a platform that is flexible in consuming different data sources within your business, leads to a platform that provides intelligent insight for reporting, operations and advanced analytics.
Becoming data driven is an opportunity to predict tomorrow, today.
Start with Data - End with Possibilities
The world of data is evolving, new types of data are driving analytics and helping businesses transform to a greater scale than ever before. The evolution of the Data Warehouse has led to the ‘Modern Data Warehouse’ allowing, in real time, the consumption of Big Data providing enriched insights from BI and advanced analytics to the right audience at the right time.
HSO DNA Accelerator brings data into insights through the power of Microsoft Azure Technologies, allowing organisations to benefit from a modern data estate using a Data & Analytics platform.
Benefits of a Modern Data Warehouse
- Adaptable and scalable to meet the demands of Big Data in real time
- Incorporates a variety of data sources
- Supports advanced analytics helping achieve predictive analysis
- Enriched insights
- Self Service BI, helping organisations empower users to make informed decisions
Insights for Everyone
One of the main challenges often faced by businesses is providing users with the relevant data to make informed decisions. Data is often siloed, leading to independent data analysis. Connecting the data together not only provides the full picture but it empowers users through intelligent-led insights.
HSO DNA Accelerator offers connectivity to bring together various data sources of different types and sizes allowing the data to be modelled and provided in a self-service capacity, ensuring users have the right data in a format that is easily understood, helping achieve enriched insights to make informed business decisions.
Accelerate your transformation into a Data Company
Data, to any business, is only worth its value if it is managed, governed and processed in the right way. HSO DNA Accelerator provides a solution that conforms to these standards including:
- Data Quality – Provide a consistent view of data across the business that is accurate and consistent, providing confidence to the business users
- Data Ownership – Data definitions defined by the business, with input from each business department
- Defined Data Definitions – Data is extracted and modelled to showcase standard definitions of calculations, and terminology understood by the business
- Data Security – Data security is applied within the various levels of the Data Analytics Platform ensuring security compliance is met, and data access is governed and maintained for the relevant data to be made available
- Architecture – Built on Microsoft technology which enables scalability and reliability, ensuring the demands of the business are not only met for today, but for the future too
Simplify ETL Data Integration
Microsoft’s Data Ingestion Tool that brings together siloed data quickly and easily, through its intuitive visual environment allowing a connection to over 90 out-of-the-box connectors.
Data Factory Benefits
Integration – Over 90 + connectors, connecting data from various siloed sources, preparing, transforming and enriching your data to deliver intelligent-led insights to your business.
Cost Efficient – Only pay for what you use, and scale up to meet the demands as your business and data needs grow.
Secure – Azure security enables secure connectivity to on-premise, cloud-based and software as a service (SaaS) data sources.
Code Free –Get started with mapping data transformations, using out-of-the-box Data Factory components within its Visual Environment, with the option to utilise known coding languages into the solution if required.
Adapt & Expand – Utilise existing data transfer tools such as SSIS, or write own code in Python, .NET or ARM to adapt the solution to meet your needs. Expand the solution to leverage the power tools, such as Azure Data Bricks, allowing data transformation at speed and scale.
No limits data storage bringing together data to deliver powerful data insights
The amount of data available to a business has grown exponentially over the last few years. Having a platform to capture this data is a key requirement for any business. A Data Lake is a single repository to store all of your data at scale, both structured and unstructured, which can be used for tasks such as reporting, business intelligence and advanced analytics.
Data Lake Benefits
Big Data & IoT – Ability to consume data sources in real time, streaming IoT device data for reporting and analytics, providing a platform to utilise the AI capabilities of the Microsoft Data Platform.
Integration – Integrates all your data, whether structured or unstructured, at scale, to work alongside the Microsoft Data Platform with applications such as Azure Synapse, Power BI and Data Factory, for a complete cloud-based data analytics platform.
Scalable – A platform that can scale with the data demands of your business to ensure optimum performance. Analyse your data from one centralised location with no constraint on space.
Low Cost – A low cost option for data storage that is adaptable and scalable that requires no hardware or licences. Only pay for the data workloads you process, resulting in a cost effective Big Data solution.
Security – All your data in one place, managed and supported by Microsoft’s extensive security and regulation compliance.
Turn data into actionable insights
A data warehouse ingests data from one or more data sources, storing current and historical data that has been pre-modelled for business users to consume for reporting.
Azure SQL Database – A scalable, cloud-based relational database solution for your data warehouse.
Azure Synapse – Designed for Enterprise Solutions, offering a limitless analytics service which brings together data warehouse and Big Data Analytics.
Model your data helping empower self-service analytics
Microsoft’s cloud-based Platform as A Service (PaaS) provides enterprise data models for reporting and business intelligence, providing insights on large and complex datasets.
Azure Analysis Services Benefits
One Version of the Truth – Combine data from one of more sources into a BI Semantic Model, offering self-service analytics to your business users on a trusted data platform, to make informed business decisions.
Performance – As data volumes grow, performance needs to match. Azure Analysis Services can scale with the demands of your data, ensuring a BI solution that provides optimum performance every time.
Secured Access – Provide authorised access to your users through role-based security, ensuring only those that need it have access.
Migration – Migrate existing 2016 Tabular Models from on-premise to the cloud.
Better Business Decisions from your Data
Power BI comes in several editions; Free, Pro, Premium and Embedded providing a data driven culture within your organisation:
Power BI Desktop – A standalone application that enables individuals or developers to turn data into rich reports and dashboards.
Power BI Pro – Power BI Pro allows organisations to share and collaborate insights. Power BI Pro licences if consumed with Power BI Premium are required for development, if Power BI Pro is deployed within your organisation all users whether a developer or consumer of reports require a licence.
Power BI Premium – Dedicated cloud based infrastructure offering all users, whether inside or outside your organisation, access to data insights. Power BI Premium offers a hybrid on-premise reporting through Power BI Report Server and cloud based analytics through Power BI with the flexibility to choose the deployment model that suits your organisation.
Power BI Embedded – Power BI Reports can be embedded in two ways with (Power BI Pro/Premium) or without licences otherwise known as ‘Power BI Embedded’ which is a standalone product.
Dynamics 365 F & O for instance has Power BI Embedded within its application allowing users to use data from within the application to create ‘Analytical Workspaces’.Learn more about Power BI
Build and deploy Advanced Analytical Models
Azure Machine Learning is a cloud-based service used to build, test and deploy predictive analytics solutions based on your data. Machine Learning Studio (MLS) is a drag-and-drop tool that can be used to build ML models and publish them as web services that can easily be consumed by custom apps like MS Excel.
Flexible analytics services for your business
Azure Databricks is an Apache Spark-based analytics platform optimised for the Microsoft Azure cloud services platform. Designed with the founders of Apache Spark, Databricks is integrated with Azure to provide one-click setup, streamlined workflows and an interactive workspace that enables collaboration between data scientists, data engineers and business analysts.
For a big data pipeline, the data (raw or structured) is ingested into Azure through Azure Data Factory in batches, or streamed near real-time using Kafka, Event Hub, or IoT Hub.
This data lands in a data lake for long-term persisted storage, in Azure Blob Storage or Azure Data Lake Storage. As part of your analytics workflow, use Azure Databricks to read data from multiple data sources such as Azure Blob Storage, Azure Data Lake Storage, Azure Cosmos DB, or Azure SQL Data Warehouse and turn it into breakthrough insights using Spark.
Leverage the power of AI
Azure machine learning is a cloud-based service used to build, test and deploy predictive analytics solutions based on your data. Machine Learning Studio (MLS) is a drag-and-drop tool that can be used to build ML models and publish them as web services that can easily be consumed by custom apps like MS Excel.
Knowledge mining is an emerging discipline in artificial intelligence (AI) that uses a combination of intelligent services to quickly learn from vast amounts of information. It allows organisations to deeply understand and easily explore information, uncover hidden insights, and find relationships and patterns at scale.
AI Apps & Agents
Deliver breakthrough experiences in your apps with Cognitive Services and Bot Services. Access industry leading AI models that are being used today by millions in products such as Office 365, Xbox and Bing. Customise these models with your own data and deploy anywhere.
Bring Big Data into your business
The Internet of Things ‘IoT’, in simple terms, is Internet connected devices that collect and transmit data. This data can be consumed using Microsoft’s Azure IoT suite to provide a range a services from real-time reporting, to collecting this data for Business Intelligence and furthermore with Machine Learning, to apply predictive insights.
Azure IoT Benefits
Security – Comprehensive security and compliance for every IoT device.
Reduction of Manual Operations – Consume IoT data with real-time insights through tools such as Power BI, reducing manual overheads of reporting.
Advanced Insights –Ingest IoT data into your organisation’s data model with other data sources, using Microsoft AI to apply advanced analytics such as Predictive Insights.
Simplicity – Quickly and easily get started. Connect IoT devices with plug & play device connection and app templates to SDK’s that require minimal coding.