Data Management and Business Analytics

  • Transition to Leading Indicators

    Shifting from Lagging to Leading indicators is like trading the rear-view mirror for the windshield; it’s about focusing less on the past and more on the future. We guide organizations from relying on lagging indicators to embracing leading indicators that foresee and enhance future performance. This shift fosters proactive strategies and nimble decision-making, keeping your business ahead of the curve.

  • Data as a Strategic KPI Driver

    Utilizing data to drive KPI’s is like using a compass for navigation; it points you in the right direction and helps you reach your destination more efficiently. Transform data into a pivotal strategic asset. By aligning data with Key Performance Indicators (KPIs), we empower your business with deep operational insights and a substantial competitive advantage.

  • Unlock the Full Potential of Your Data

    Unlocking the full potential of your data is like turning the key to a treasure chest; it opens a wealth of insights about your business and competitors, revealing hidden opportunities and untapped potential that can propel you towards unprecedented success. Elevate your team's data proficiency from basic handling to mastering sophisticated analytics. Our training programs in advanced data utilization techniques ensure your personnel are fully equipped to unlock the full potential of your data assets.

  • AI and Machine Learning Integration

    Employing AI and ML to extract insights from data is like using a high-powered telescope to explore the cosmos; it allows us to see deeper and clearer, revealing patterns and insights that were previously beyond our reach. Integrate AI and machine learning to pinpoint and rectify data capture gaps, enhance data integrity, and shift from reactive to predictive analytics

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Running the Business vs Introducing Business Changes

Business Intelligence

Uses data to bring about operational efficiency. Real-time data enables members of the team to perform their functions in an effective manner.

Business Analytics

Uses historical data to identify trends and other insights to help drive change that supports and sustains successful business practices.

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Past vs Future

Business Intelligence

BI is like looking at the rearview mirror to see what has already happened. Using historical data will help you make informed decisions based on past results.

Business Analytics

BA is about looking at what is in front of you to see what is about to happen, as well as to anticipate future events. It will help you move forward and gain understanding about the future.

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Straight Reporting vs Data Analysis

Business Intelligence

Traditional BI focuses mainly on generating reports that are highly formatted and created by report developers who then distribute it to the entire organization

Business Analytics

BA trends have been moving toward "self-service analytics" where a few no longer generate reports. It is evolving in such a way that more people are involved in the flow of analysis and can explore the data and ask their own questions.

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Methodology

Business Intelligence

Generates reports that rely heavily on Key Performance Indicators (KPIs) and metrics. Other methods used include automated monitoring/alerting (thresholds), dashboards, scorecards, OLAP (slice & dice, cubes, drilling), and ad hoc query

Business Analytics

Mainly uses predictive modeling in its methodology. It also includes data mining, text mining, multimedia mining, simulation and optimization, statistical and qualitative analysis, and descriptive modeling.

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Knowledge- Generation

Business Intelligence

Relies mainly on manual methods

Business Analytics

Leverage automatic methodologies.

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Users

Business Intelligence

Business users

Business Analytics

Scientists, IT professionals, Business Analysts, Business User

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Purpose

Business Intelligence

Best used to identify where your business is at this point. The question it asks is "What is happening to your business?" Further, a broad set of technologies and techniques are used to provide complete visibility into your business operations

Business Analytics

Mainly used for investigating, predicting, and prescribing solutions for business improvement and optimization. It asks the question, "why this is happening and what will mostly likely happen in the future?"

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Enablers

Business Intelligence

Data-warehousing, visualizations, and dashboards

Business Analytics

Data analytics and data sciences.

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Noun vs Verb

Business Intelligence

Best applied as a noun, as it is an umbrella term that covers the scope of acquiring, persisting, warehousing, analyzing, and reporting insights including data along the periphery.

Business Analytics

More of a verb because it is about discovering insights with the use of any available tools, techniques, technologies, or services on hand.

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Business Initiatives

Business Intelligence

Typically adopts a reactive view when it comes to business initiatives

Business Analytics

Uses a proactive approach in business initiatives