DATAI

About Us

With the explosion of data in recent years, we now live in a data driven economy, and it is imperative to have accurate, reliable data in a timely manner to make good, intelligent decisions.

DATAI converts your data into information that will arm you with the knowledge you need to stay one step ahead of your competition and to take advantage of more opportunities. Our team of data architects, data hygiene experts, data scientists, administrators and data developers can transform any kind of data—clean, unclean, structured, unstructured, relational or multidimensional—into manageable sources of information.

We have significant expertise in database design, optimization and security, integration of disparate data, appending with external data sources and developing data marts that can be used for a variety of purposes, from feeding information to apps, reports and dashboards, to machine learning models.

DATA DRIVING BI & ANALYTICS

To meet the BI and analytic reporting needs of the business, our data team understands the need and then begins the process of 'discovering' the data, identifying the data sources and data elements needed for the analysis. Data from disparate sources is collated, cleansed, standardized and enriched with data from external sources as needed. Once the analysis is completed by our analysts, the data team helps operationalize the results by setting up regular processes for getting the data into a warehouse/mart and building cubes as needed for optimal reporting.

Why Chose Us?

Our 10 years working experience to take care of your business goal.

DATA ANALYSIS 95%

DATA MODELING 97%

DATA INTEGRATION 99%

DATA WAREHOUSE 96%

Services

We offer a wide range of services and provide realtime data solutions

Data Cleaning

Is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.

Data Quality

Is a measure of the condition of data based on factors such as accuracy, completeness, consistency, reliability and whether it's up to date.

Data integration

Is the practice of consolidating data from disparate sources into a single dataset with the ultimate goal of providing users with consistent access and delivery of data across the spectrum of subjects and structure types, and to meet the information needs of all applications and business processes.

Data Warehouse

Is a large collection of business data used to help an organization make decisions. The concept of the data warehouse has existed since the 1980s, when it was developed to help transition data from merely powering operations to fueling decision support systems that reveal business intelligence.

Implementation Approach

Our analytics projects begin with identifying the business need/question. Our data team then begins the process of ‘discovering’ the data, identifying the data sources and data elements needed for the analysis. Data from disparate sources are collated, cleansed, standardized and enriched with data from external sources as needed. Our analysts work with subject matter experts in the client’s organization as well as from the industry to understand the business dynamics. They employ statistical analysis, quantitative techniques and machine learning, and build models that generate insights and direct business action. We work with the client’s organization to determine the appropriate delivery platform (reports, dashboards, alerts, web application etc.) and supporting data structures (data warehouse, cubes etc.) needed to operationalize this.

Contact

Businesses need to be able to see the big picture and drill down as needed. They also need to see what is relevant at a glance without drowning in reports. Our specialty is in delivering business intelligence that matters, in the appropriate manner, so it can lead to immediate action.

DATA IS TRUTH

THE TRUTH THAT HELPS YOUR BUSINESS TAKE OFF