Optiwise Data Transformation

Bolster business performance through informed decision making

What is Data Transformation?

 

 

 

Data Analytics is the process of examining , cleaning, transforming, and modeling data to extract useful information, draw conclusions, and support decision making to make incremental impact within the organization.

Why use Data Transformation

  •  Increase operational efficiency to streamline business processes, identify inefficiencies, and make data driven improvements
  • Gain insights into consumer behaviour and preferences to make informed marketing and sales strategies
  • Gain a better understanding of the industry and the market to identify new opportunities for growth
  • 4Manage risks through proactive mitigation strategies to improve overall business performance

Our Market Solutions

This is what makes Optiwise an expert in Strategic Planning as we provide world class solutions. Our team members have gathered together to solve the pain points of our clients and support them with

Full Stack Data Transformation

It is the process of designing data strategy that aligns with the business model using state of the art technology to enhance decision making effectively.. This service covers the entire process of ideation of data strategy, data architecture implementation along with the enablement of descriptive, diagnostic, predictive and perspective phases of the analytics journey.

  • Understanding the business model to create a data strategy.
  • Data architecture design.
  • Data migration and scalable data warehouse design based on the data architecture.
  • Statistical modeling and data visualization with the deployment of analysis tools and visualization tools.

Data Warehouse Management

Data warehouse management is one of the core components of analytical setup of an organization that is designed to support and serve business intelligence activities to enable decision making in an organization. Data warehouses often contain large amounts of historical data that are intended to perform complex queries and analysis that drives business decisions. The data that resides within a data warehouse is usually derived from various source systems such as transactional systems, CRM, operational system, application logs etc. A business data warehouse includes.

  • A relational database that stores data from various source systems.
  • An extraction, transform and loading (ETL) operation for storing clean and valuable data from source.
  • Statistical analysis, reporting and data mining capabilities.

Data Migration

Data migration is the process of transportation of data from one system to another. It involves the use of state of the art tools in order to automate the process of migration of data. A data migration process includes:

  • Understanding the source system and its data types.
  • Designing/mapping of the destination system in alignment with the source.
  • Configuration of data migration tools in order to automate the process of data migration.

KPI And Data Visualization

A Key Performance Indicator is a quantifiable measurable value that indicates how effectively a company is achieving key business targets and objectives. Organizations often use KPIs at different levels to evaluate their success at reaching targets. Designing and standardization of KPI has been one of the crucial components as it plays a vital role in understanding where business currently stands. KPI usually has four components.

  • Metrics
  • Current value
  • Target value
  • Design dashboard designed in order to track the performance and health of an organization.

Data Audit

A data audit refers to the process of examining data for its accuracy and quality. In the vision of data based decision effectively, faulty data can jeopardize the decision making in an organization. Hence, auditing the data for its quality and utilizing it for specific purposes is crucial. This process includes

  • Reviewing data source for its data types and frequency and stages of data generation.
  • Reviewing the ETL process for data migration.
  • Reviewing data types and frequency of its update on the data warehouse.
  • Review of key metrics and its formulation.

Data Transform results

Descriptive Analytics

Diagnostic Analytics

Predictive Analytics

Prescriptive Analytics

Lets Have a Discussion to Make Your Vision Come True

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Optiwise Strategy

Innovation in business models, elevating customer experience, leverage data and technology to accelerate growth and create new opportunities for your organization.

Market Transformation

We apply data-driven, research-based, customer-focused approaches to developing marketing strategies with a focus on the sustainable growth of the organization, which delivers great customer experiences.

Data Transformation

Bringing the right data together so you can enrich and analyze it to open up real insights for better outcomes.

Digital Transformation

With our digital touchpoint techniques and strategy, you can receive the best outreach for new and existing customers

Optiwise Training

Offering high quality training and consultancy in leadership training, strategic management, product management, pricing management, digital marketing and data analytics.

Optiwise Research

We Conduct specialized and targeted research on behalf of the client and produce precise, factual, and analytical reports using computer-based spreadsheets.

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