The Founder of Workmetrics and a member of the Forbes Technology Council, Dr Jeremy Nunn, said,

‘‘Problems with the lack of coordination in the data management field have been plaguing companies for quite some time now. Data integration across various departments lends itself as an efficient solution, particularly with streamlining hiring procedures, payroll system onboarding, orientation, incident reporting and management of safety orientation programs..’’

Every business starts with the intention to provide value and make a profit. As many companies start to do this, they begin accumulating a lot of information across HR, Marketing, Sales, Accounting....the list is endless.

As a business owner, you need all this information harmonised and accessible in order to make effective business decisions. Otherwise, your business will be lulled into a false sense of security and you wouldn’t be aware until disaster strikes. This is what data integration sets to prevent.

According to insights gotten from Dresner Advisory Associates’ 2020 Data Pipelines Market Study,

Over 80% of enterprise Business Operations leaders say data integration critical to ongoing operations.
67% of enterprises are relying on data integration to support analytics and BI platforms today, and 24% are planning to in the next 12 months.

Data integration is the process of combining data types and formats from different sources into a single, unified location. Integration starts with the inputting process. This goal is to enable businesses make effective, actionable business decisions.

Data Integration tools: What exactly is data integration?

Traditionally, large organisations have tried to solve the problem of dispersed data by outsourcing the task to IT vendors, incurring a high upfront cost. Others have accepted the use of manual data entry, which seems ‘cheaper’ but costs time and is prone to errors. In the beginning, it makes sense, but as time goes on this approach becomes less scalable and less cost-effective.

Integrating Data The Wrong Way.

Merging data from multiple sources and merging them into a unified whole within a single structure can be a technical hassle. Businesses are becoming aware of the need for data integration, but they are faced with the need for creating pre-built processes for moving this data where it needs to be.

High latency, low data integrity & poor data security are some of the challenges that are likely to arise from a poor data integration process. Your Data Integration project could rise exponentially when you experience a massive influx of data from multiple sources. This could mean the demand for both additional storage capacity and processing power is going to increase. Thus it is important for your organisation to anticipate the possible extent of growth before choosing a data integration tool or architecture.

Understanding the Role of Data Integration In Businesses
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Simplified Tools Are The Solution

Data integration tools have the ability to solve the above-mentioned problems and simplify the process better. When looking to select a data integration tool, here are the important features you should look out for:

  • Many connectors: A good data integration tool should enable you to plug in many sources of data with little or no effort.
  • Ease: An important feature of a data integration tool is the ease of use. Its processes should be easy to learn and easy to use.
  • Save time and reduce heavy costs: A good data integration tool does not only solve complex problems fast, it also helps you do it while saving you money.


As a business, working with a simplified data integration platform reduces the complexities of working with numerous vendors, training and retraining members of staff, spending exorbitant costs on licenses. You will find a fast and efficient data storage solution in Manhattan DB. This tool can serve millions of queries per second, with extremely low latency in a real-time environment. Manhattan DB reduces operational complexity and allows you to scale your business easily.

A state of the art data pipeline, Voyance Pipelines has proven ease of movability as it moves billions of rows of data at scale, at low latency speed. It does this by employing a hugely parallel processing data warehouse architecture and a columnar data store that can aggregate and analyse large amounts of data.


There’s a lot that goes into making effective business decisions. That’s why it’s crucial for your business to have simplified access to unified data. Voyance's no-code data pipeline service enables businesses to seamlessly move data from desired data sources to their respective data warehouse. Thus empowering you to make better business decisions.

To begin, Sign up here for a free 15-minute consultation to get you started.