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Is your data analytics journey similar to solving a jigsaw puzzle ?


What’s one thing that’s common between a jigsaw puzzle and business’s data analytics? Well, it’s like how we sit and try to solve a puzzle. We place pieces next to each other and see if they fit in. Well let’s do some digging and check this out.

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There is no dearth of data in the world of business. But this vast wealth of data is of very little value till we can unify them into a single, systematic view- similar to our jigsaw puzzle. The puzzle pieces makes sense only when you integrate them. And this is possible only through data integration which involves approaches like ingestion, ETL mapping, and transformation. Data integration allows the analytics tools to obtain valuable insights and business intelligence. Once the data from different sources are transformed into actionable items, a clear path of business growth can be charted.

Why is data integration needed aka the data analysis jigsaw ?

Data integration is a must if you want to leverage the maximum benefits out of your business. Following are some of the cited needs as to why businesses must solve the data analytics puzzle :

  • Any business needs hundreds of internal systems and applications to run its day-to-day affairs. This can get overwhelming at times, to say the least. So if you have a proper data integration plan ready, you can bring the different systems together, better coordinate the processes, streamline the connections, and adopt a more systematic approach to data delivery. To top it, having an integrated data management system saves both time and money.
  • When data becomes easily available through integration, it is easier for the employees to retrieve and analyze them. They can also integrate any useful information into their projects, update the data, and quickly share results.
  • Data integration allows collaboration which is the key to the smooth functioning of a project. It helps in the more efficient sharing of information among teams which allows the projects to be carried out in a more streamlined manner.
  • Data integration improves transparency and flexibility within the system. This results in quicker and smarter business decisions.
  • Data integration makes the validation of information more accurate. This helps in the removal of duplications and inconsistencies leading to cleaner, more dependable, and error-free data.

But enterprise management has transformed vastly over the last few decades, where on-premise data stores have been replaced by modern cloud-based data warehousing. Despite that predicting the future analytics requirements of a business, using only the traditional sources of transactional data like SAP and Mainframe remains a far cry.

How to address the problem aka solve the puzzle ?

So to make a more futuristic assessment of how business needs will change, we need a robust data integration platform. A platform that should be able to deliver unified views of the most accurate and analytics-ready data available in real-time. Thus, to align with this growing demand, many enterprises are now warming up to a culture of Data Ops.

But, unfortunately, the traditional data integration practices are not fit for DataOps. For this new system, you need something much more than a visualization tool. And this is where NSEIT’s partner, Qlik comes in. This analytics tool in association with Attunity, helps companies integrate and test data in various platforms like Azure, AWS, Snowflake, etc to deliver the best business solutions. Its enterprise-level data management strategy empowers organizations to derive the best value out of their data in a volatile environment.

What are the puzzle pieces in the Data Analytics universe ?

With Qlik’s Data Integration we aim to automates data streaming, cataloging, refinement, publishing on any cloud of your choice. This data-sourcing to cataloging platform provides the following services:

Piece 1 - Qlik Replicate

Supports a wide range of platforms and sources like data warehouse and legacy systems enabling you to synchronize data across on-premises and cloud environments. Its other functions include:

  • bulk replication
  • incremental replication using CDC (change data capture)

  • removal of overhead on your mission-critical system
  • zero-downtime data migrations and data upgrades

Piece 2 - Qlik Compose

Supports a wide array of on-premise databases like SQL Server, DB2, Oracle, and so on. Its other functions include:

  • Reduces dependency on developers by allowing you to design all your transformations from source to data warehouse, or lakes and data marts using an easy-to-use interface.
  • Reduces cost, time, risk of the data warehouse or data lake projects both on-premise and in the cloud.
  • Qlik Replicate and Compose work in tandem to help update your data warehouse and data lake continuously during the day.

Piece 3 - Qlik Catalog

Supports self-service analytics for the users in the following ways:

  • Easy access to data
  • Quick location of data
  • Deriving data lineage
  • Viewing data quality
  • Searching for data sources, fields, tables, descriptions. This, however, is subject to access rules.
  • Selecting the required data and gaining insights in your BI tool, like Tableau, Power BI, or Qlik.

Benefits in terms of business growth

With these missing puzzle pieces coming in together, businesses can gain following benefits :

  • This comprehensive data integration and analytics tool help in deriving the productive value of your company data in a constantly shifting environment
  • Through intelligent analytic data pipelines, Qlik empowers companies to deliver data more efficiently

  • When your employees can properly use artificial intelligence and examine data freely, it adds real value to your business intelligence strategy
  • The ability to integrate and refine data for analysis is essential for business agility

This helps your employees gain useful insights and make informed decisions that contribute to the business growth.

One of the US based credit union Teachers Credit Union (TCU) boosted its referrals by 207%, using Qlik. Installing Qlik Sense apps across all areas of TCU.

Conclusion

As a final word, we can say that with our partner Qlik solution we can help you to build self-service applications, acquire on-business insights, and make data-driven decisions. But as we sit down in defining the data analytics journey and roadmap ahead, the role of solving this puzzle becomes of due importance. And we can help you put all the missing puzzles in place and solve your data puzzles, connect with us to know more.


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