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Database & SQL Built for Business Data.

Design, improve and connect database solutions that give business applications a structured, reliable and scalable foundation for operational data.

Discuss Your Database
01

Database Design

02

SQL Development

03

Data Integration

04

Reporting Ready

01

Overview

THE FOUNDATION BEHIND BUSINESS SOFTWARE

Better applications start with better data structures.

Business applications depend on databases to organize customers, transactions, products, bookings, employees, financial records and other operational information.

As applications grow, poorly structured data can make development, reporting, integrations and future changes increasingly difficult.

Incodiv Tech provides database and SQL solutions designed around application requirements, business relationships, reporting needs and long-term system growth.

02

Capabilities

DATABASE & SQL CAPABILITIES

Structure, query and connect business data more effectively.

01

Database Design

Design structured relational databases around application and business requirements.

02

Database Development

Build database structures supporting custom applications and operational systems.

03

SQL Development

Develop SQL queries for application functionality, reporting and data operations.

04

Stored Procedures

Develop structured database procedures where they support application requirements.

05

Query Optimization

Review inefficient queries and database access patterns affecting application performance.

06

Database Integration

Connect application data with compatible systems, APIs and reporting solutions.

07

Data Migration

Plan and move required business data when systems or database structures change.

08

Reporting Queries

Prepare structured SQL queries to support operational and management reporting.

09

Database Modernization

Improve selected database structures supporting existing business applications.

10

Data Relationships

Structure relationships between business entities to support reliable application workflows.

11

Application Databases

Build database foundations for web, mobile and internal business applications.

12

Reporting Data Solutions

Prepare relevant business information for dashboards and analytical reporting.

03

Business Challenges

WHEN DATA BECOMES DIFFICULT TO MANAGE

Database problems eventually become business problems.

01

Data Is Duplicated

The same information is stored in multiple places, creating inconsistent business records.

02

Reports Are Difficult to Build

Business information exists but is not structured in a way that supports useful reporting.

03

Application Queries Are Slow

Inefficient queries or database structures can make application operations slower as data grows.

04

Systems Do Not Share Data

Important information remains separated between applications and operational databases.

05

Database Structure Has Outgrown

New business requirements are difficult to implement because the original database was not designed for current operations.

06

Manual Data Consolidation

Teams manually combine information from different sources before it can be used.

04

Architecture

STRUCTURED BUSINESS DATA

Design the database around how information relates.

A business database should represent relationships between important entities instead of simply collecting disconnected tables and fields.

01

Business Entities

Customers · Products · Users

02

Relationships

Structured Data Model

03

Transactions

Operational Records

04

Business Output

Applications · Reports

05

SQL Development

QUERY BUSINESS DATA

SQL built around application and reporting requirements.

SQL development can support everything from application screens and calculations to operational reports and integrations.

01

SQL Queries

02

Joins & Relationships

03

Stored Procedures

04

Database Views

05

Aggregations

06

Reporting Queries

07

Data Validation

08

Query Optimization

06

Performance

DATABASE PERFORMANCE

Identify database patterns that slow applications down.

Performance problems can come from inefficient queries, unnecessary data retrieval, poor indexing decisions or database structures that no longer match application usage.

01

Query Review

Review frequently used or problematic queries affecting application operations.

02

Index Review

Assess indexing requirements according to query and application usage.

03

Data Retrieval

Reduce unnecessary database operations where application logic allows.

04

Structure Review

Identify database design limitations affecting current application requirements.

07

Integration

CONNECT BUSINESS DATA

Make database information useful across your systems.

Where suitable integration methods are available, databases can support connected workflows between applications, APIs, reporting tools and other business systems.

01

Web Applications

02

Mobile Applications

03

REST APIs

04

ERP Systems

05

CRM Systems

06

Microsoft 365

07

Power BI

08

Business Portals

08

Data Migration

MOVE BUSINESS DATA WITH STRUCTURE

Plan data movement before changing business systems.

Data migration requires understanding both the existing source and the target database. Fields, relationships and business rules need to be mapped before required information is transferred.

01

Assess

Existing data sources

02

Map

Fields & relationships

03

Transform

Required data structure

04

Migrate

Target database

09

Reporting

FROM DATABASE TO BUSINESS INSIGHT

Structure data so reporting becomes easier to build.

Operational databases contain valuable information, but useful reporting depends on how that information is organized, queried and transformed.

01

Operational Reports

Prepare queries supporting day-to-day application and operational reporting.

02

Management Reports

Organize relevant information for broader business and management views.

03

Dashboard Data

Prepare structured datasets and queries for dashboard requirements.

04

Power BI Integration

Connect suitable business data with Power BI for analytical reporting.

10

Applications

DATABASES FOR BUSINESS SYSTEMS

Data architecture for different operational systems.

01

ERP Systems

Departments, transactions, operations and management data.

02

CRM Systems

Leads, customers, activities, opportunities and sales records.

03

Booking Systems

Customers, bookings, services, payments and operational records.

04

Inventory Systems

Items, suppliers, stock movements, purchasing and locations.

05

Business Portals

Users, requests, documents, activities and account information.

06

Multi-Branch Systems

Branch-aware records, users, transactions and reporting data.

11

Technology

DATABASE & APPLICATION TECHNOLOGY

Technologies for connected, database-driven applications.

The final database and application architecture depends on existing systems, business requirements, integrations and development technology.

SQL Server T-SQL MySQL Relational Databases Stored Procedures Database Views REST APIs ASP.NET Core C# PHP Power BI Power Query
12

Our Process

DATABASE DEVELOPMENT APPROACH

Understand the data before designing the database.

01

Discover

Understand business entities, existing data, workflows, applications and reporting needs.

02

Structure

Define tables, relationships, business rules and required data structures.

03

Develop

Build database objects, queries, procedures and application data operations.

04

Integrate & Evolve

Connect the database with applications and extend it as business requirements change.

13

Why Incodiv

DATABASES BUILT AROUND APPLICATIONS

Connect data architecture with actual business workflows.

Database development is most useful when it is designed together with the application, business process and reporting requirements that depend on it.

01

Business-focused database design

02

SQL Server & MySQL development

03

Application-focused SQL development

04

Reporting-ready data structures

05

API & system integration support

06

Existing database improvement

15

FAQ

COMMON QUESTIONS

Database & SQL solutions, explained.

Do you develop SQL Server and MySQL databases? +

Yes. Incodiv Tech works with SQL Server and MySQL for database-driven business applications and related data requirements.

Can you work with an existing database? +

Yes. Existing database structures can be reviewed to understand relationships, application dependencies and areas that may require improvement.

Can you optimize slow SQL queries? +

Yes. Queries and related database access patterns can be reviewed to identify potential performance issues and suitable improvements.

Can you migrate data from an old system? +

Yes, depending on the source data and target system. Migration normally requires assessment, mapping, transformation and validation before the required data is moved.

Can a database connect with Power BI? +

Yes. Supported database sources can be connected with Power BI, and relevant queries or data structures can be prepared for analytical reporting.

Can the database connect with other applications? +

Yes. Depending on the architecture, applications can exchange information through APIs, backend services or other suitable integration methods.

NEED A BETTER DATA FOUNDATION?

Build your business systems on structured, connected data.

Tell us about your application, existing database, reporting requirements or data challenges.

Discuss Your Database
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