Datarchy - The Managed Analytics Solution

Speed Up
Time-to-Value and Get the Most Out of Your Investment

Datarchy is a fully managed cloud analytics solution, built on best-of-breed technologies that can be easily tailored to meet the unique needs of each organization — with no programming necessary.

Datarchy is based on the Snowflake data warehouse, best in class data integration process and methodology, embedded modern data visualisation platform and Databricks for running different predictive models. All components run on Microsoft Azure, leveraging all the benefits of the cloud platform.

Affordability

High Performance

Scalability

Big Data Capabilities

Zero Management and Maintenance

Reliability and Accessibility

Disparate Data Sources In. Consolidated Data Out.

Datarchy brings data engineering and data analytics together on a single platform that anyone can use.

Any data source of any size can be easily brought in and any analytics tool or business application can be easily connected to access the Snowflake data repository.

Who is Datarchy For?

Businesses should focus on analysing, not integrating data, because every hour spent on managing data infrastructure is an hour not spent on what they do best.

Datarchy is the perfect choice for organisations that:

Would like to leverage the best of both worlds by concentrating on their core business strategy and leaving data and analytics services to outsourced experts.

Would like to have a peace of mind in the safety, management and maintenance of their data and analytics environment.

Don’t’ want to overspend on hardware and software license fees for on-premise solutions and databases.

Have absence of skilled data engineers and analysts or need guidance on have how to make the most value out of their data.

5 Reasons to Use Managed Analytics Service

New technologies constantly emerge and consequently organisations are experiencing a lack of expertise and knowledge, because it is too costly to employ data experts with all the variety of required skills and too time consuming to train them in the latest methodologies and solutions.

Data is growing at an exponential rate and data sources are becoming more diverse and complex, therefore consolidating and integrating data from all internal and external systems has never been more difficult.

Traditional ETL / ELT development and implementation takes months, which is far too long to meet business requirements and to be ahead of the competition.

Legacy data systems don’t support unstructured data and thus cannot leverage the advantages of big data analytics, nor do they support real-time business operations.

Existing data warehouse environments are near maximum capacity and cannot be scaled up any more or only at a very high cost.

Our Offering

With our fully managed end-to-end service, we get you covered through all of the steps of a modern analytics platform. We will lead you through the whole process and help you speed up implementation time without worrying about data integration, infrastructure and performance tuning.

DATA SOURCES

DATA WAREHOUSE AUTOMATION PLATFORM

USE CASES

Fast-track Snowflake Projects

We provide a pragmatic step-by-step plan that gets you enjoying the benefits of data warehouse modernisation much sooner, with minimum risk and at 5-times lower total cost of ownership in comparison to building a data warehouse the traditional way or by yourself.

Modern data architecture represents the foundation of the Datarchy solution. It consists of a Snowflake data lake and / or data warehouse and data marts - depending on your analytics and data science requirements.

By taking advantages of our data warehouse automation platform, we can quickly and seamlessly integrate and consolidate all relevant internal and external data sources.

Our solution comes with a sophisticated data lineage and impact analysis to understand origins of data used in reports and analysis and to be able to identify consequences of new enhancements on current implementation within seconds.

It also guarantees improved data quality with automated technical tests and business rules including the “compare source data against target data” features.

Not to mention the possibility of managing master data and creating custom hierarchies for different analytical needs that are not available in source systems.

Data Visualisation, Analytics and Artificial Intelligence

If you already have business intelligence and analytics solutions in place, we will help you to point them to a new cloud-based data warehouse, so that you will be able to start exploring data and enjoying high performance instantly.

If you need an end-to-end solution, our team of data experts is at your disposal to help you create executive dashboards with smart interactive visualisations based on Tableau or to implement various data science and machine learning applications to drive analytics innovation and increase its business impact.

To save time and get outcomes quickly, you can start with our best practice templates for different industry specific dashboards or predictive analytics use cases.

Data Migration

Migrating your existing data system from an on-premises legacy technology to a cloud environment can be a very risky, challenging, time consuming and complex process because you may need to rewrite the code for the ETL processes, reformat the data to fit the target and optimize it for the new platform.

As a Snowflake partner, we have heavily invested in supporting data warehouse migrations from different on-premise technologies to the Snowflake cloud environment.

Our platform leverages full ETL / ELT automation so that the migration time and costs can be reduced by factors.

'Know your numbers'
is a fundamental precept of business. BILL GATES

Our Approach

We always follow our objective, “Think big, start small” to make sure that you reap the first benefits of your data project as soon as possible. This goes hand in hand with our interactive agile development methodology that guarantees that users can see data as soon as possible and request relevant changes while development is still under way.

Data Strategy and Roadmap

We begin with discovery workshop, where we engage with your team to:

Understand the relevant business processes and expected requirements
Do initial assessment where we evaluate your current technology stack and determine a clear data strategy, roadmap and modern data architecture that helps you achieve your business goals in the most efficient and cost-effective way
Help you identify the key value opportunities with quick results to start with.

Proof of Concept

The next phase is a pilot project roll out to build confidence among stakeholders and users as soon as possible, because they get familiar with new solution and tools at a very early stage and enjoy quick wins.

This way, there is minimum risk in regards to data system architecture as development is still on the way and we can make adjustments easily, if required.

Solution Delivery

We manage end-to-end implementation.

Data Integration Workshop

Implementation phase begins with data integration workshops where we get to know your data sources and the data required for the project.

Modelling

After the architecture design is in place, we’ll continue with data warehouse and data marts modelling according to the most suitable methodology and preparation of a data dictionary.

Data Integration and Transformation

Integration and consolidation of data sources, including automated technical tests, is done based on DataMerlin, our data warehouse automation platform. By combining the power of automation with a metadata-driven approach, you get results that are five times faster than traditional methods.

We are able to either seamlessly integrate data from disparate internal and external sources, cleanse it, transform it and load it to your Snowflake data warehouse for a unified view to support business goals and initiatives or simply ingest it into Snowflake data lake for instant access and data science initiatives.

Data can be called upon whenever needed and integrated into powerful applications.

User training

The last, but not the least important step of the implementation is user training and knowledge transfer.

Support and Growth

We know the work doesn’t stop with-go live, therefore we provide on-going maintenance and technical support and make sure that the solution will grow with you.

The only source of
knowledge is experience. ALBERT EINSTEIN

How Can We Achieve Results?

Backed by 15 years of experience and over 150 successfully completed analytics projects, both domestically and globally and across a wide range of industries, we are a highly reliable partner for delivering data visualization, data science and data warehouse modernization projects on time and on budget.

We can manage your data and analytics environment

More efficiently and with greater technical expertise

Data and analytics are our core business from day one, thus we always keep up with the latest technology and possess the methodology and tools that help us automate processes and reduce development time.

At a lower cost

We have the scale, resources with technical skills, wide industry knowledge and rich experience to be more cost effective.

With less risk

No worrying that key subject-matter experts or technical developers will leave your company. We have a team of data experts that is always at your disposal.

With our partnership your organization will able to:

Shorten the time-to-cloud from months or years to only days or weeks.
Automate the data processing flow from any internal or external sources.
Save overheads and time spent to collect and manipulate data and tune infrastructure.

Why Snowflake?

Reap the benefits of Snowflake sooner with our data warehouse automation platform.

Snowflake is the only data warehouse built for the cloud from the ground up. Its unique features make it the perfect solution for both your enterprise data warehouse and data lake solutions.

Most common reasons why organisations around the world have moved to Snowflake.

Compelling performance and operational efficiency

Snowflake processes reports and analytics at lightning speed because its columnar database engine uses advanced optimizations to efficiently crunch data.

Dynamic elasticity capabilities

Snowflake’s modern cloud architecture is built around the separation of resources, which allows it to scale effectively and efficiently (scale up and down on-the-fly, without downtime or disruption) in response to mixed and dynamic workloads.

Pay only for what you use

It’s usage-based pricing for compute and storage allows you to pay only for the amount of data stored and the amount of processing performed. You will get rid of all big upfront costs, over-provisioned systems, or idle clusters consuming money.

Zero management and maintenance

Snowflake’s patented technology natively loads and optimizes both structured and unstructured data such as JSON, Avro, or XML and makes it available via SQL without sacrificing performance or flexibility.

Diverse data and big data capabilities

Secure Data Sharing

Companies can instantly and securely share governed data both inside and outside their organization without copying, transferring or manually transforming data and can even monetize parts of their data through external data sharing to create new revenue streams.

Customer experience

Snowflake was placed as a leader among the top of the vendors in Gartner Magic Quadrant for Data Management Solutions. Users praised the product capabilities, value for money, pricing and contract flexibility, and overall ease of deployment.