AirQuery Data Jump Pipelines: An easy, speedy ride for your data! `
AirQuery Data Pipelines helps you unify data from diverse data sources.
In 2001, IDC issued its white paper (1), "The High Cost of Not Finding Information," stating that employees were spending two and a half hours digging for information. Since then, the landscape for accumulating and interpreting data has transformed immensely over the past two decades. We have witnessed the advancement of the cloud, ubiquitous computing, connectivity, and everything else that was science fiction back then has become a reality. Yet, in 2012, a decade after the IDC report, a study executed by McKinsey saw that employees still spend 19% of their time scouring for and assembling information. A 2018 IDC study found that "data experts are losing 50% of their time every week" — 30% searching for, managing, and conditioning data plus 20% duplicating work. In short, we can see that we still spend more time gathering data that exists rather than analyzing and creating new knowledge.
But why does this continue? Majorly because data scientists spend most of their time unifying data and creating valuable business analytics from unstructured information. Your organization probably deals with tremendous amounts of data. To examine and derive value from all of that data, you might require a single view of the complete data set. When that data resides in various systems and services, it should be integrated into ways that make sense for in-depth analysis and translate into crucial information for your business. You might be wondering that you will probably need immense data engineering knowledge to centralize data successfully. But with AirQuery Data Jump Pipelines, this no longer holds true. Let's dig deeper.
What are Data Pipelines?
A data pipeline is a sequence of stages that migrate raw data from a source and replicate it at the destination. In the context of business intelligence, a source could be a transactional database. At the same time, the destination is, generally, a data lake or a data warehouse where the data is studied for business insights. For instance, using AirQuery, you can extract data from the (source) Oracle Cloud ERP and migrate it to the (destination) staging database or data warehouse with ease.
AirQuery’s Data Jump pipelines that are developed for reliable data delivery are intuitive and can automatically integrate data from over 200 databases/business applications used across the organization. They can also smartly consolidate data from various teams, including finance, operations, supply chain, marketing, product, and manufacturing so that you can focus on data analysis and insights rather than searching and gathering information manually.
Why do you need Data Jump Pipelines?
The expansion of the cloud has meant that a contemporary business employs a suite of apps to perform different functions. The marketing department might use a combination of Marketo and HubSpot for marketing automation. Salespeople might depend on Salesforce to manage leads. The product team might use PostgreSQL to store customer insights and so on. This makes data scattered across various tools, and the fragmentation offshoots in data silos.
Data silos can make it challenging to fetch out even uncomplicated business insights, like your most profitable market. Even if you manage to gather data from all the different sources manually and replicate it into an Excel sheet for analysis, you can run into several errors such as data duplication or redundancy. Moreover, a lot of time and effort is wasted in gathering information manually rather than focusing on analyzing it. And if you consider data from real-time sources, like the streaming data, the situation becomes exponentially complicated.
How AirQuery Can Help You?
AirQuery Data Jump Data Pipelines facilitate quick data analysis for business insights by migrating and converging data from all your diverse sources and replicating it into one common staging warehouse. They eliminate most manual steps from the process and allow a smooth, automatic data flow from one step to another. They are essential for real-time analytics to help you make speedier, data-driven decisions.
For instance, if you want to know your expenditure vs. the output of your sales department, you might have to fetch data from Salesforce to examine leads and opportunities, collect data about the salespersons working for your company, then go to the payroll system to gather data on the money spent as commissions, then bring in data of the actual conversions of the leads and the business earned from them. AirQuery Data Jump Data Pipelines can pull in data from all the sources and replicate it in the warehouse to make it easier to analyze various aspects like which salesperson is performing better, where can you curb or raise your expenses, and make more such business decisions seamlessly. They also provide consistent data quality, sustain data integrity, and detour slippages such as broken records, corrupted files, or unfinished migration.
Harness the power of data science to drive greater business efficiency. It’s simple, quick, and hassle-free with AirQuery. Get a free trial by contacting us here: https://www.airquery.com/contact
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