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Automated Reporting in Azure

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Automated reporting made simple by Prokope.

Prokope's simplified approach to delivering Automated Reporting in Azure is a proven combination of technology, process, and expertise.

Once we’ve implemented your Azure Data Platform for Cloud Automation solution, our consultants will support you at every stage of your journey to ensure you generate consistent, accurate, timely, and valuable Business Intelligence.

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Outcomes for your business

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Successfully move to Azure cloud or better optimise your existing Azure reporting.

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Fuel growth with a cost-controlled Azure Cloud architecture that scales with your business.

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Your business generates impactful and timely BI for better business decisions.

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Your teams can focus on finding value through new insights rather than aggregating data.

We understand your challenges

Manual or semi automated reporting is unmanageable, often late, with contradicting figures, and is open to interpretation. There’s pressure to provide accurate analytic reporting to the regulator or execs.

The Prokope solution

We will support your Azure Cloud architecture and deliver:

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Successfully move to Azure cloud or better optimise your existing Azure reporting.

Prokope Market-Leading Data & AI Consultancy

Fuel growth with a cost-controlled Azure Cloud architecture that scales with your business.

Prokope Market-Leading Data & AI Consultancy

Your business generates impactful and timely BI for better business decisions.

Prokope Market-Leading Data & AI Consultancy

Your teams can focus on finding value through new insights rather than aggregating data.

Prokope will build a scalable solution, with transparent costing, that will grow with your business.

Architecture options

Here is an example of an Azure Services Architecture for Automated BI.

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SOLUTIONS

Solution Components

Azure SQL Database (Data Warehouse)

This is a managed relational cloud database service that is always up to date and can automatically scale resources on demand. Azure SQL Database designed to store highly organised, structured data. This can be queried using SQL or connected to reporting tools such as Power BI.

A Data Warehouse is a highly specialised tool for processing large volumes of data efficiently. The structured nature of the data allows it to be indexed and optimised for rapid retrieval. This means Power BI reports can be refreshed more rapidly as the heavy lifting has been done by the ETL processes and neatly organised into the required format within the Data Warehouse.

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Power Apps

Customised business applications with user access controlled by Active Directory used to retrieve, read, and write data to the Azure SQL Database.

Azure Function Apps

A lightweight, serverless, and language independent solution which allows you to create bespoke code to handle complex ingestions which cannot be easily completed by Azure Data Factory.


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Azure Synapse & Analysis Service

This could be used instead of an Azure SQL Database to leverage massive parallel processing (MPP), making it suitable for running high-performance analytics.
However, Synapse is often more costly and has a specific use, whereas SQL DB instances are flexible and cost efficient. SQL DBs can also be used for proof of concept (PoC) work, staging tables, and to explore your data.

Azure Active Directory

Active Directory leverages your existing Microsoft accounts to securely manage access to Azure services and resources for your teams with single sign-on and multi-factor authentication.

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Azure Data Factory

It is a modern, cloud-based solution for ETL. The best-known alternative in the Microsoft ecosystem is SSIS, however, this requires an SQL Server to schedule and run packages.

Data Factory is a PaaS (platform-as-a-service) solution meaning it uses a serverless architecture. It has cost benefits in terms of you only pay for what you use, and there are no upfront costs.

Plus, Data Factory is scalable. You are not bound by a server specification if you need to process more or less data.

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Power BI

Power BI is Microsoft’s business analytics service, providing interactive visualisations and BI capabilities. An intuitive interface enables end users to create their own reports and dashboards.

The complexity of the upstream solution is hidden from reporting teams and business users. So, rather than having to cleanse and combine disparate data from multiple systems, your people can instead focus on finding valuable insights.

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Azure Data Lake Storage

Azure Data Lake is designed for storing raw source data, which can be loaded into the Azure SQL Database.

The Data Lake can be interrogated by Data Scientists or Power users (MI Team) for explorative purposes. Microsoft Azure offers a Data Lake service via its storage account offering.

By exploring the Data Lake, new reporting requirements may come to light. These can then be implemented in the Azure SQL Database. The Data Lake can also be used for ad hoc analysis.

You could use Storage Blob instead of Azure Data Lake Storage as a staging area for the source data, prior to loading.

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Catapult – Modern data platform

If you are a medium to large organisation struggling to make the most of your data and software within your existing team, we can work with you to ensure your data opportunities are maximised, and quickly too.

Velocity, capability, experience, expertise, all packaged into a modern, forward thinking data platform. Ensuring a simplified, cost efficient solution. It’s Prokope's modern data platform in a box. Activate Catapult and see your business fly.
Discover Catapult with Prokope

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The pros and cons of Data Lakes and Data Warehouses

Data Lake

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Easy to load

Difficult to read

Used when specific data required is not available in the warehouse

versus

Data Warehouse

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Difficult to load

Easy to read

Should always be the starting point for querying data (more efficient and easier to use)

Key considerations

Security & Security Model

Our model will protect your architecture from threats and ensure all the right people have access to all the right data.

DevOps

Plan smarter, collaborate more effectively and develop faster using modern dev services.

Quality & Standards

Prokope's coding standards and delivery approach enables consistency, faster development and ease for successful project delivery.

Cost

We will help you to understand cost predicting, cost control and cost monitoring.

Data Governance

Expert management of the availability, usability and integrity of your data.

Efficiency

Prokokpe's approach is always to automate tasks where possible to minimise time and costs.

We can also provide ongoing support following successful project delivery to manage change and maintenance for the long-term.

Key business benefits

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Robust reporting
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Regulatory compliance
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Informed decisioning
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GDPR controlled environment
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Streamlined process (resource cost avoidance)
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Reduced hardware maintenance costs

Ultimately, you will benefit from having an automated and cost-controlled Enterprise BI architecture. This will enable your organisation to generate impactful and timely BI. In addition, our solution will facilitate future expansion into data science, machine learning and predictive modelling.

Prokope will assist in optimising your Azure Cloud architecture to develop a scalable solution with clear costing that evolves alongside your business.

Catapult is Prokope’s all-in-one data platform, providing a simplified, cost-effective solution for data management. It offers a simplified, cost-effective solution that provides speed, capability, experience, and expertise, all within a cutting-edge, forward-looking data platform.

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