Facilitating the entire data journey to unleash dividends for your organization.
Throughout the data journey, a gamut of methodologies, tools, technologies, frameworks and techniques are used to facilitate data’s journey to its ultimate destination.
The portfolio of data consulting and implementation services covers the complete data journey; battle hardened by our experience and partnership with some of the world’s largest data producers and consumers fortune companies.
from ingestion all the way to behavioral prediction
The data originates in various systems, each with its own uniqueness and subtleties, and must pass multiple stages before meaningful analysis.
Curating the right mix of data ingestion tools, architectural best practices and our time-tested methodologies allow us to extract data from the sources and prepare it for its onwards journey.
The modern-day data diversity no longer obeys the traditional hierarchy and relational storage structures and requires highly specialized storage tools, curated querying and manipulation design patterns.
Our certified consultants help you make the right choice and curate the right mix of storage options to form the storage landscape that best serves your need.
As multi-dimensional, multi-sourced data lands in the storage layer, it is ripe for processing. If not done right, this may inhibit the overall throughput of the data value journey.
Confiz has the breadth and depth of knowledge and proven track record in delivering processing requirements of some of the world’s largest data producers and consumer organizations.
Data visualization presents the information in a way that allows to spot trends, inconsistencies and track performance.
Confiz helps you reach your data science and data visualization potential by choosing the right tools and visualization patterns that give the most meaningful depiction of your data so that you can truly see what it’s trying to tell you.
From real-time analytics that trigger activities in dynamic scenarios to deep dashboards with historical data manipulation, we employ Artificial Intelligence and Machine Learning tools to deliver intelligence to business operations.
Our approach brings efficiency in enterprise business services organizations through predictive dashboards and data visualizations.
Governance cuts through every stage of the data value journey. Every tool in the data value journey must be overlaid with proper governance and security to ensure that maintaining and securing such a complex ecosystem does not become a chore.
Confiz uses industry-best governance tools, design patterns and frameworks to manage the availability, integrity, and security of data.
Creating a data strategy is the first and most essential step in establishing a foundation as it dictates the narrative for an organization's digital transformation initiatives.
Confiz helps organizations undergo a smooth transition towards becoming data driven and treating data as an asset, delivering iterative value to the business.
By 2022, 90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.
Time-series data manipulated for a Fortune 500 client to allow for rapid response when faced with system performance issues.
Machine learning modeling for net sales forecasting applied to streamline HR operations (annual) planning for a Fortune 500 retailer.
Leveraging trained Artificial Intelligence (AI) modeling to streamline HR annual operations planning based on net sales forecasts for a Fortune 500 client.Read more
to maximize value for your business
Here's everything you need to know
Big data analytics can be explained as the complex process of examining a combination of unstructured, semi-structured and structured data to discover market trends, correlations, hidden patterns, and customer preferences.
Using predictive analysis, big data analytics offer organizations customized suggestions and recommendations which allows them to launch new products per customer preferences and futuristic needs. This information can help businesses make informed decisions and growth strategies to increase their revenues.
Both business analytics and data analytics is based on extracting insights from data to enhance business performance. Business analytics targets major business implications of data to evaluate actions that should benefit the business. These may include deciding whether a company should prioritize a distinct project or whether a business should launch a new product line to the target market. Essentially, business analytics can be described as a combination of data tools, skills and apps that enable an organization to improve the efficiency of core business functions such as customer service, sales, marketing, IT, etc.
Data analytics involves analyzing raw data for hidden trends and valuable insights. Businesses generate volumes of data concerning sales, logistics, market research, or transactions. Data analysts comb through datasets to find patterns, metrics, risks, opportunities, draw conclusions about hypotheses, and develop data-based insights to support business decisions.
Data Never Sleeps 6.0 says that nearly 1.7MB of data is being generated every second for every person on the Earth which has led the company to predict 180 zettabytes of data being consumed globally by 2025. This enormous amount of data is being fed into advanced analytics and machine learning solutions that give retailers the ability to foresee imminent customer actions.
Data scientists in the retail industry work diligently to uncover hidden trends, relationships, risks and opportunities. The derived insights allow retail businesses to understand customer demand, predict market trends, create omnichannel shopping experiences and make smarter pricing decisions. Statista forecasts worldwide revenues from the big data and business analytics market to increase from 168.8 billion in 2018 to a staggering 274.3 billion in 2022. That’s a 63% growth in just 4 years.
Data ingestion is the transfer of unstructured data from its point of origination to a system or medium where it can be stored for analysis and future access. If we talk about the architectural pattern of big data, then data ingestion becomes the first stage of the journey. It is also regarded as the beginning of Data Pipeline as this is the point where data is imported for immediate use. In some instances, data is streamed in real-time, but usually it is ingested in batches. In short, data ingestion can be referred to as the process of procuring data and adding it into the Data Processing system.
The graphical representation of information and data is regarded as data visualization. The intelligent usage of visual elements such as graphs, charts, and maps, offer an accessible way for users to see and understand patterns, trends, and outliers in data. In the Big Data industry, data visualization technologies are key to evaluate information and execute data-driven decisions.
Ready to unleash potential and achieve process excellence? Confiz helps you transform and succeed using technology, insights, and innovation.Get in touch