The four main reasons to implement a fully automated data pipeline are:

  • To maximize returns on your data through advanced analytics and better customer insights
  • To identify and monetize "dark data" with via improved data utilization
  • To improve organizational decision-making on your way to establishing a data-driven company culture
  • To provide easy access to data with improved mobility and a cloud-based infrastructure

When you think about the core technologies that give companies a competitive edge, a fully automated data pipeline may not be the first thing that leaps to mind. But to unlock the full power of your data universe and turn it into business intelligence and real-time insights, you need to gain full control and visibility over your data at all its sources and destinations. 

A data pipeline is at the heart of the critical data architecture that enables the seamless flow of information between systems and applications and can unlock better business intelligence and advanced analytics, improving organizational decision-making speed and capabilities. 

  1. Advanced BI and Analytics
  2. Increased Data Utilization
  3. Turn Dark Data into Revenue-Generating Intelligence 
  4. Faster Data Mobility
  5. Improved Organizational Decision-Making
  6. Better Customer Insights
  7. Establish a Data-Driven Culture
  8. Easy Access to Cloud-Based Data Architecture and Data Pipelines 

Advanced BI and Analytics

According to Gartner, 87% of organizations have low BI and analytics maturity. Almost all organizations struggle to extract the full value they need from their data and to gain critical insights that can drive organizational efficiency and improved performance and profitability. A fully automated data pipeline allows your organization to extract data at the source, transform it into a usable form, and integrate it with other sources before shipping it to a data warehouse or lake for loading into business applications and analytics platforms. By automating these processes, you can establish better data management practices, improve business intelligence, and capture quality real-time insights. Tools for non-technical business users allows companies to become data-driven companies by democratizing the control and ownership of data across the entire organization.  

Increased Data Utilization

As digitization speeds up, the amount of data companies collect increases, but most companies are still not close to fully utilizing their data and gaining deeper insights and real-time visibility from advanced analytics. Their data architecture is slowing them down and creating data bottlenecks and silos. They are losing data in the process rather than enriching it via integration and data mining. In older systems and architectures, costly engineering talent must be deployed to move it and prepare it for integration and analysis.

According to a survey by IDG, the amount of data companies collect increases by 63% each month. And yet, according to Gartner, 55% of data collected is “dark data."

Gartner defines dark data as: 

"The information assets organizations collect, process and store during regular business activities, but fail to use for other purposes, for example, analytics, business relationships, and direct monetizing." 

Turn Dark Data into Revenue-Generating Intelligence 

Turning dark data into business intelligence and customer insights can yield significant outcomes for companies, who can use the information to strategize, improve internal processes, and generate revenue. Advanced analytics can point to opportunities to act quickly on emerging trends, or enlarge and scale profitable products and services. But how do organizations manage the data that is streaming in from every direction? Analyzing data in real-time from many different sources requires a fully automated pipeline that can easily process and orchestrate multiple events. 

For example, when one Xplenty client needed better tools to reach their target markets and improve customer satisfaction, they knew they needed to improve their data mining and business analytics strategy. By adopting Xplenty’s ETL solution they were able to:

  • Get alerts by automatically pulling information from S3 buckets and Redshift and loading it into Salesforce
  • Standardize and transform their data formats so they could use the best features from Salesforce and Totango
  • Improve their predictive accuracy by pulling data from Salesforce, transforming the information into more useful segments, and putting the processed data back into Salesforce.

Learn more about three real-life applications where companies were able to improve their BI and data mining capabilities by implementing Xplenty’s data integration platform and pipeline toolkit.

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Faster Data Mobility

After mining and analyzing your data, how do you get it back into the hands of the business users that need it? A fully automated data pipeline allows your business to function efficiently, moving data with ease across applications and systems, providing strategic BI and performance insights to leadership. On the ground, your data pipeline is a critical component in the infrastructure that delivers key performance indicators and other metrics to teams in marketing, sales, production, operations, and administration. Teams and decision-makers get the analysis and data they need quickly. 

To capture the full value of data flowing into an organization, organizations must be able to move and use the information instantly. Integration with other sources makes the analysis contextual. Automations eliminate low-value engineering hours and empower business users and promote a data-driven culture. 

Improved Organizational Decision-Making

In the final analysis, business intelligence is about making faster and more effective decisions. 

The quality of your decision-making is directly tied to the availability of quality data. Getting accurate, timely data in front of decision-makers and leaders is paramount. No-code tools and powerful automation allow non-technical teams to build pipelines and data flows that capture meaningful intelligence from more business activities and customer interactions. Business users can pull data from multiple sources, reformat it in a graphical interface, and load it into analytics software for real-time reporting and analysis. 

Data is at the heart of an innovative and agile organization, helping them to: 

  • Learn about markets and customer needs
  • Develop highly targeted products and services 
  • Assess risk and analyze performance in real-time
  • Drive compliance and business continuity across the entire organization. 

As rapid change, unprecedented consumer behavior and disruptive events continue to roil markets and create uncertainty, making data-based decisions in real-time is becoming a critical imperative. Like a captain at the helm during a tumultuous storm at sea, visibility is paramount. 

Better Customer Insights

A fully automated data pipeline facilitates the flow of data between systems, eliminating the need to manually code and format data, and allowing transformations to happen on-platform, empowering real-time analytics and delivering granular insights. Integrating data from different sources produces better business intelligence and customer insights, including: 

  • Better insights into the whole customer journey and experience 
  • Performance, efficiency, and productivity improvements 
  • Faster and more effective organizational decision-making

An organization's decision making capability is directly tied to the quality of their business intelligence. It begins with data. Today, businesses are collecting more data than ever, and from more sources, but if they are not able to derive business intelligence from the data, it becomes a liability rather than an asset.   

Establish a Data-Driven Culture

From targeted marketing to more efficient operations and improved performance and productivity, data is a key driver. Collecting data allows businesses to measure and quantify their assumptions and outcomes, but to drive a data-based culture across the organization, these practices can not remain in the executive suite. They have to trickle down to each team and employee. 

Empowering teams and business users with no-code tools and graphical dashboards help them visualize and execute data-related functions with ease and confidence, increasing competence and compliance, and creating a data-driven culture across the entire organization. Teams can schedule and maintain data pipelines, connecting and integrating them with databases and business applications in the cloud, and generating the insights they need to achieve their objectives. By empowering employees with the tools they need to capture value from data, companies create a data-driven culture from the ground up.

Integrate Your Data Today!

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Easy Access to Cloud-Based Data Architecture and Data Pipelines 

By 2022, it is estimated that the cloud will be essential for 90% of advanced analytic functions and innovation. As new technologies converge and emerge on the edge, the data pipeline will become even more essential. Regardless of how tools and platforms evolve, being able to quickly move and transform data will remain fundamental. Cloud-based technologies are elastic and scalable, and allow businesses to be flexible as they grow and to adapt quickly to changing conditions. 

According to Forrester, data-driven companies grow more than 30% annually on average, and by increasing BI and analytics companies can outperform their competitors and improve the customer experience for the next generation of innovation, setting the stage for future growth and opportunity. No matter what technologies you add to your stack, your data pipeline is the heart of your data infrastructure, pumping data across systems and applications, and delivering superior business intelligence and analytics across the entire organization.

Xplenty is a cloud-based ETL solution providing simple visualized data pipelines for automated data flows across a wide range of sources and destinations, supporting a data-driven culture and improved business intelligence. Our powerful on-platform transformation tools allow you to transform, normalize and clean your data while adhering to compliance best practices and equips business users with no-code tools and intuitive dashboards for ease of use and a better user experience. 

With Xplenty’s powerful data integration platform, you can easily:  

  • Integrate, process and prepare data for analytics in the cloud 
  • Build rich date pipelines and automate data flows across systems  
  • Scale quickly without investing in expensive hardware and engineering hours

Want to learn more about how Xplenty is helping business improve their business intelligence and analytics with its cloud-based ETL Solution? Get in touch to schedule a demo and risk-free trial, and experience the Xplenty platform for yourself.