Training & Consultancy
Our experts provide training & consultancy to use AI/ML and advanced analytics. These services enable participants to gain hands-on experience with data analysis, modeling technique, machine learning algorithms and tools necessary to leverage these technologies for business purposes.
One of the key components of business intelligence and data-driven decision making is data transformation. We offer a range of data transformation services that help our clients to integrate and transform their data to be prepared for analysis, visualization & reporting. Additionally, we offer efficient data warehousing and storage solutions.
Model Development and Deployment
We enable organizations through machine learning models the latest AI-driven approaches towards automating processes related towards predictive maintenance while also providing recommendations regarding optimal decision-making strategies alongside other applications.
Big Data Processing
We specializes in big data processing, focusing on the management of large-scale datasets. We excel in handling complex queries while ensuring efficient performance levels. To achieve this, we leverage distributed computing architectures such as Hadoop or Spark frameworks. These frameworks enable us to process and analyze vast amounts of data in parallel, delivering fast and scalable solutions for our clients' big data needs.
Exploratory Data Analysis
Our services include Exploratory Data Analysis (EDA), a powerful technique that uncovers hidden patterns and trends within datasets. Through visualizations and statistical modeling techniques, we summarize and visualize the data, enabling stakeholders to make more informed decisions based on the insights generated. EDA allows us to extract valuable information from the data, providing actionable insights for our clients.
Alkan CIT offers comprehensive data management services, including secure storage, backup and recovery, data security measures, cleansing and normalization, data integration, analysis and reporting, governance, master data management, metadata management, and data archiving.