Kreatif Teknologi Multiguna

Data-Backed Strategies for Success

Easily manage and visualize data accurately and in real-time to help your company make critical decisions in an effective manner. Learn and predict future trends from just one dashboard.

BENEFITS

How You Benefit As Your Analytics Partner

Assist clients in the collection, storage, and processing of relevant data.

We set up automated data management processes and governance and implement self-service BI to ensure you can easily create ad hoc reports without programming skills, and your IT team doesn't have to manually manage data.

We use various data visualization techniques to highlight the most important analytics insights in each report and make them easy to scan at one glance.

As an expert analytics consultancy, we don’t simply build reports — our goal is to help you fully utilize the potential of your analytics solution and discover new optimization opportunities hidden in your data (e.g., for operational cost reduction, productivity improvements).

We consolidate your disparate data sources into a DWH to serve as a single point of truth for enterprise-wide analytics. Our robust ETL processes will guarantee your data is always accurate, consistent, and complete to facilitate dependable analytics.

Implementation

Driving Business Success through Data Analytics

Increase revenue, optimize operational efficiency, optimize marketing programs, and compete to improve business performance.

01
Staff Readiness

Impact assessment and remediation strategies for Customer users examine daily activities, responsibilities, and common workflows for highly impacted users.

02

Performance Management and Compliance

Monitor, log, and alert on resources and activities related to data and analytics platforms.

03
Automated Resource Deployment

Repeatable and interactive data and cloud operations using Infrastructure as code.

Data Discovery and Analytics

Discovery, assessment, gap analysis, data design, analytics capabilities in place, and migration strategies applicable to Google Cloud.

04
Data and Analytics Platform Foundation

Assessment and design of data and analytics platforms across ingestion, storage, processing (streaming and batch), transformation, and visualization requirements and considerations.

05
Data Security and Analytics

Data security assessment and design, data sharing, and de-identification requirements.

06