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Role of ETL in Business Intelligence

ETL (Extract, Transform, Load) is a process of extracting data from different data sources; manipulating them according to business calculations; loading the modified data into a different data warehouse. Because of the in-depth analytics data it provides, ETL function lies at the core of Business Intelligence systems. With ETL, enterprises can obtain historical, current, and predictive views of real business data. Let’s look at some ETL features that are necessary for business intelligence.

Extraction Transformation Loading

The Importance of ETL in Business Intelligence

Businesses rely on the ETL process for a consolidated data view that can drive better business decisions. The following ETL features justify the point.

High-level Data Mapping

Leveraging data and transforming them into actionable insights is a challenge with dispersed and voluminous data. Data mapping simplifies database functionalities like integration, migration, warehousing, and transformation.

ETL allows mapping data for specific applications. Data mapping helps in establishing a correlation between different data models.

Data Quality & Big Data Analytics

Huge volumes of data aren’t of much use in their raw form. Applying algorithms on raw data often leads to ambiguous results. It needs structuring, analyzing, and interpreting well to gain powerful insights. ETL also ensures the quality of data in the warehouse through standardization and removing duplicates.

ETL tools combine data integration and processing, making it easier to deal with voluminous data. In its data integration module, ETL assembles data from disparate sources. Post integration, it applies business rules to provide the analytics view of the data.

[Also read: Popular ETL Tools for 2020]

Automatic & Faster Batch Data Processing

The modern-day ETL tools run on scripts, which are faster than traditional programming. Scripts are a lightweight set of instructions that execute specific tasks in the background. ETL also ‘batch’ processes data like moving huge volumes of data between two systems in a set schedule.

Sometimes the volume of incoming data increases to millions of events per second. To handle such situations, stream processing (monitoring and batch processing data) can help in timely decision making. For example, Banks batch process the data generally during night hours to resolves the entire day’s transactions.

Master Data Management

Using ETL and data integration, enterprises can obtain the “best data view” across multiple sources.

How ETL Works?

ETL systems are designed to accomplish three complex database functions: extract, transform and load.

#1 Extraction

Here, a module extracts data from different data sources independent of file formats. For instance, banking and insurance technology platforms operate on different databases, hardware, operating system, and communication protocols. Also, their system derives data from a variety of touchpoints like ATMs, text files, pdfs, spreadsheets, scanned forms, etc. The extraction phase maps the data from different sources into a unified format before processing. 

Data-extraction-in-ETL

ETL systems ensure the following while extracting data.

  1. Removing redundant (duplicate) or fragmented data
  2. Removing spam or unwanted data
  3. Reconciling records with source data
  4. Checking data types and key attributes.

#2 Transformation

This stage involves applying algorithms and modifying data according to business-specific rules. The common operations performed in ETL’s transformation stage is computation, concatenation, filters, and string operations like currency, time, data format, etc. It also validates the following-

  1. Data cleaning like adding ‘0’ to null values
  2. Threshold validation like age cannot be more than two digits
  3. Data standardization according to the rules and lookup table.
Data-transformation-in-ETL

#3 Loading

Loading is a process of migrating structured data into the warehouse. Usually, large volumes of data need to be loaded in a short time. ETL applications play a crucial role in optimizing the load process with efficient recovery mechanisms for the instances of loading failures.

A typical ETL process involves three types of loading functions-

  1. Initial load: it populates the records in the data warehouse.
  2. Incremental load: it applies changes (updates) periodically as per the requirements.
  3. Full refresh: It reloads the warehouse with fresh records by erasing the old contents.

The ETL systems validate the following data loading parameters-

  • The Business Intelligence report on view layer matches with the loaded facts
  • Data consistency between the data warehouse and the history table.
  • Models are based on transformed data and not the raw data from the original databases.

The modern-day ETL applications utilize NoSQL database systems for warehousing. NoSQL systems are suitable for big-data and real-time web-applications. NoSQL executes queries faster than traditional databases and is more memory efficient.

ETL Business Applications

Transactional databases are not enough to resolve complex business queries. Also, dealing with unorganized data formats is more time-taking. ETL can help in obtaining-

  • Memory efficiency
  • Real-time query processing
  • Mapping data historical, current, and predictive data to derive actionable insights
  • Smart data storage and retrieval.

Almost all industries can deploy the benefits of ETL systems. However, businesses like banking, insurance, customer relations, finance, and healthcare are the early adopters of this technology.

If your business needs intelligent data processing, we’re here to listen to your requirements. Drop us a word at hello@mantralabsglobal.com to know about our previous works on developing ETL applications.

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The Essence of User-Centered Design: A Dive into Fundamental Principles

In a digital world where user experience reigns supreme, crafting designs that resonate has become a mission. Enter User-Centered Design (UCD), a philosophy placing users at the core of the creative process. In this exploration, we’ll delve into the fundamental principles of User-Centered Design and understand why they are the keystones of successful interfaces.

User-Centered Design

Introduction:

Imagine navigating a website seamlessly, effortlessly finding what you need. That experience is no accident but the result of intentional design. User-centered design (UCD) is the compass guiding designers toward creating interfaces that users not only navigate but embrace.

1. Empathy is Key:

  • Incorporate for a better approach: Start by stepping into the shoes of your users. What are their pain points? What delights them? By empathizing, designers gain insights that drive user-focused design decisions.

2. User Involvement Throughout the Design Process:

  • Real-life example or statistic: Apple’s iterative design process involves user testing at every stage. This constant involvement ensures that their products align precisely with user needs.

3. Holistic Approach to Design:

  • Visual content: Picture your design not as isolated screens but as a cohesive journey. Use diagrams to illustrate how each component fits into the larger user experience ecosystem.

4. Usability is Non-Negotiable:

  • Case studies or examples: Consider the success of Google’s homepage. Its simplicity and efficiency showcase the power of a user-centered approach, emphasizing usability.

5. Accessibility for All:

  • End with a clear call-to-action: Make your designs accessible. It’s not just a legal obligation; it’s an ethical imperative. Ensure your interfaces are usable by everyone, regardless of ability.

6. Consistency Across the Interface:

  • Formatting for readability: Consistency is not just a design principle; it’s a readability strategy. Use bullet points for clarity and short paragraphs for easy consumption.

7. Flexibility and Customization:

  • Inclusive language: Users are diverse, so should your designs be. Incorporate flexibility and customization options. This ensures your interface caters to a broad range of preferences.

Why User-Centered Design Matters:

A. Enhanced User Satisfaction:

  • Feedback mechanism: Prioritize user satisfaction. A satisfied user is an engaged user. Welcome reader input and questions to keep the conversation alive.

B. Reduced Learning Curve:

  • Clear call-to-action: Minimize frustration. Make your interfaces intuitive, reducing the learning curve. Invite users to explore with a clear call-to-action.

C. Increased Engagement and Retention:

  • Visual content: Engaging interfaces retain users. Visualize engagement with appealing images or infographics. Showcase how user-centered designs reduce bounce rates.

D. Effective Problem Solving:

  • Tangible proof: Case studies offer tangible proof. Explore how UCD’s iterative process allows for effective problem-solving. Real-world examples bring these concepts to life.

Conclusion:

In the grand tapestry of digital design, User-Centered Design is the thread weaving functionality, aesthetics, and user satisfaction into a seamless whole. By embracing these principles, designers transform mere interfaces into user-centric experiences. So, as you embark on your design journey, remember: User-centered design isn’t just a philosophy; it’s a commitment to excellence. Design with the user in mind, and success will follow.

About the Author: Mehul Chauhan is a seasoned Senior UI/UX Designer at Mantra Labs. With a deep understanding of design principles and a keen eye for detail, he brings creativity and innovation to every project he touches. When he’s not busy perfecting digital interfaces, you can find him seeking inspiration in art galleries or exploring the latest design trends across various industries.

Further Reading: Unveiling the Art of Emotional Design

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