DataOps
better data makes better decisions
Data Analytics are powering organisations
Real Time Analytics
Product recommendation, flight monitoring, real-time product bundling, live forecasting, sensor management, fraud detection, augmented reality, IoT, etc
On Demand Analytics
Performance dashboards, statutory reporting, data investigations and reconciliation, etc
Data Engineering and Data Management are powering data analytics
However, a lot of time, effort and expense go into extracting the value from your data
Business data is rich and comes from a multitude of sources. But it is often siloed, difficult to access and tends to be manually collated and curated by the subject matter experts (SMEs)
Organisations often use disparate systems and data formats that don’t talk to each other – no single source of the truth
IT engineers and developers constantly create and maintain your data estate to make the data available to the business, but their capabilities are limited by the time, tools and resources
And your analysts often spend a lot of their own time and effort gathering relevant data before they are able to focus on insights
However, more challenging data initiatives for the analysts to implement themselves always require extensive IT involvement. Which means longer time and higher cost. Like undertaking a data integration project (creating a single source lake/warehouse) or developing new automated app/dashboard/reports/systems. Normally, such initiatives go through layers of scoping, procurement, budget approvals, resource sign-offs, followed by lengthy development times
And if you have a need for live streaming data, these projects are notoriously difficult (if not impossible) to implement and manage with legacy tools even for seasoned engineers
Proportionately, you spend significantly more time developing, curating and maintaining your data and data estates than you actually do analysing the data. And as such, you miss out on improving revenue, reducing costs and enhancing operational efficiencies
Luckily, the technology is evolving fast - DataOps
To achieve speed, agility and cost reduction in data management, organizations need to apply standardisation of processes for creation and governance of the dataflows through each step of the life cycle
Just like on a production line, the idea is to increase agility and reduce cycle times, while also reducing data defects – better data makes better decisions
Another goal is to bring the data community closer together, break the silos and share the knowledge across the organisation more effectively
DataOps is the key to delivering both
We all know data is essential to decision making. Making better decisions faster than your competitors do is the key to your success
We strongly believe organisations that apply DataOps will be the winners in the digital age
DataOps is key to solving your data challenges
DataOps means shifting significant custom, manual effort of data engineering and data management to a smart, standardised and robust framework
DataOps allows you to know what data you have, where it is located and how it is used, all in real time
Your data citizens can then easily access that data themselves. All they need to do is apply the appropriate business logic with SQL to create fully productionised dataflows to feed the dashboards, ML/AI algorithms or other systems
Whether you work with data on prem or in the Cloud (multiple clouds), create and maintain data lakes and data warehouses, stream data from edge devices in real time, or work with AI, DataOps is the best way forward for your organisation
All of the data issues you are facing today can be solved by DataOps. Free up your people and resources to focus on what matters – creating value with the treasure trove of data you have
DataOps puts data at the heart of your entire organisation
DataOps standardises and automates all complex processes associated with flowing data in a production environment and creates production-grade dataflows every time
DataOps enables data architects, data engineers, data scientist and data analysts to create complex, production grade enterprise dataflows with little or no coding required – democratising dataflow generation
By standardising and automating dataflow creation and estate management, DataOps makes the entire data management cycle robust and considerably more cost-effective
DataOps cracks open resource silos and democratises working with data, promoting closer collaboration across your entire organisation. Unlike the traditional ETL
How do I access the power of DataOps?
You first option is to custom design your own internal framework, code it up, and set up all associated data management processes yourselves. You will need to develop connections to data, setup and maintenance of repositories, data governance, etc
The effort would require great technical expertise, a sizable upfront resource commitment, and a lengthy development time
On the other hand, you can deploy DataOps straight “out of the box”. With our all-in-one platform, we completely remove the need for the development effort – start using DataOps today!
We put all our knowledge, experience, and the latest tech to give you one powerful DataOps platform. It takes all essential components (Data Engineering and Data Management) and unites them in a single visual, state-of-the-art, no-code/low-code tool. It is very simple to use and delivers exceptional value to your organisation fast
Join the DataOps revolution and get all your data to work for you right away regardless of where it resides, what infrastructure it sits on, or how complex your data estate may be
Working with your data should never be hard and costly!