BUSINESS INTELLIGENCE & REPORTING
Realize the Power of Your Data
Empower your business with actionable insights, driving faster, more confident decisions across the enterprise.
We live in a world where large collections of siloed data are driving the demand for business intelligence and analytics across all functional areas of modern businesses. With the rapid advancements in machine learning, Internet of Things, and big data, businesses are looking for innovative business intelligence and analytic solutions that can provide actionable insight in real-time within a scalable model.
Catenary Technology helps businesses realize the power of their data by uncovering hidden business insights and making them visible across the enterprise for real-time data-driven decision-making. Through our technical partnerships along with our broad experience in rapidly delivering business intelligence, data visualization, and machine learning platforms, our clients realize increased profitability through operational transparency and data-driven decision making.
We rapidly develop and deploy customer-driven business intelligence solutions which bring together disparate data to uncover hidden insights, driving real-time decision-making.
Catenary Technology has extensive business intelligence and analytics capabilities extending from process modernization to identification and implementation of the right products along with support.
Our business intelligence and analytics offerings are powered by our well-trained and certified consultants, rich proprietary toolsets, proven de-risked methodologies, strategic alliances, and dedicated Centers of Expertise (CoE). We have extensive capabilities in process consulting, SaaS applications, along with our design thinking-led consulting approach and comprehensive cloud methodology, help organizations redesign and enhance their key processes and gain real-time insights for crucial decision-making.
We partner with leading cloud product vendors like Microsoft, Oracle, and Amazon. Leverage these partnerships along with our product, domain and industry knowledge, and IP to ensure that our clients benefit from the early insights that our solutions provide to develop a broad business intelligence and analytics vision along with a strong digital strategy.
Business Intelligence versus Business Analytics
The term business intelligence is commonly used in association with business analytics, and while there is significant overlap between the two areas, business intelligence focuses more narrowly on what is happening in your business and why, while business analytics more broadly includes solutions that help you leverage that insight to plan for the future. Business intelligence uses descriptive analytics to formulate conclusions about historical and current performance, providing context around changes in key performance indicators (KPIs).
Business analytics and business intelligence are inclusive of prescriptive and predictive analytics practices, which help advise decision-makers on potential future outcomes. Both business intelligence and business analytics solutions enable stakeholders to make better decisions, and these should be viewed as complementary to one another.
Business analytics and data analytics tend to be used interchangeably. But business analytics is a merely a subset of data analytics, as the scope of data analytics can refer to any analysis of data. Business analytics focuses on discovering information which can improve business decision-making.
Our Areas of Focus and Expertise
Extract, Transform, and Load
Business intelligence solutions rely on a data integration process that combines data from multiple data sources into a single, consistent data store that is loaded into a data warehouse or other target system. ETL is short for three steps in this process, which are extract, transform and load.
Artificial Intelligent-Assisted Data Preparation
It is highly valuable for business intelligence solutions to provide a one-stop-shop across the entire analytics journey — and that starts with your data. Automatically identifying problems in data and suggesting ways to combine different data sources allows users to adapt and customize datasets and dashboards as needed.
Data warehouses and data Pools
After data is pre-processed and aggregated, it is fed into one central repository, such as a data warehouse, data pool, or online analytical processing platform (OLAP), which supports business analytics and reporting tools. For larger unstructured data sets, businesses typically use an open-source data storage framework like Apache Hadoop or MongoDB.
Online Analytical Processing
This technology extracts big data from relational tables and reorganizes it into a multidimensional format, enabling fast processing and insightful data analysis. OLAP is an acronym which stands for online analytical processing.
Natural Language Processing
Natural Language Processing refers to the branch of artificial intelligence which enables computers to understand text and spoken words in a way similar to human beings. Business intelligence vendors have begun to incorporate this technology into their products, allowing businesses to access information in new ways.
Reporting and dashboarding are at the heart of a modern approach to analytics. Organizations rely on regular, structured reporting to run their business. These formal reports collect and disseminate the crucial details that support good decision-making, and they provide jumping-off points for further exploration of trends, threats and opportunities.
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