Advisory services based on proven, repeatable methodologies that provide unbiased vendor-neutral recommendations, architecture blueprints and implementation roadmaps.
We help you define a Big Data strategy and select appropriate technologies and vendors based on your requirements and budget. We also ensure it complements your existing data warehouse/ BI investments. Our consultants have a comprehensive view of the many options available and help you evaluate both commercial product vendors and Open Source options.
To understand how our advisory services can help you meet your Big Data goals, contact us.
Deliver effective, highly scalable, high performance Big Data analytics applications. Reduce your risk, implementation time and cost.
Our team of experts partner with you to design proof-of-concept prototypes utilizing Big Data technologies. On successful validation of the prototype, we help you to scale and deploy your Big Data solution to a production-grade implementation. Ana-Data also provides cost-effective maintenance, support, and optimization of your Big Data solutions.
To understand how we can help you deploy and maintain Big Data solutions, contact us.
Leverage experienced data scientists and methodologies to implement advanced models and algorithms that separate the signals from the noise, discover patterns in the data, and provide predictive insights. We are skilled in machine learning, natural language processing, enterprise search and advanced statistical and mathematical decision science. We are experienced in a broad range of industries such as banking and financial services, telecommunications, travel and entertainment, digital media, healthcare, manufacturing and others.
To help you apply advanced decision science within your business, contact us.
Current enterprise data warehouses are choking from the weight of new structured and unstructured data sources. In response to this, there are many new commercial and Open Source options. Our data warehouse modernization solutions help to extend and enhance your data warehouse infrastructure in a complementary way.
Enterprise Data Warehouse (EDW) is not dead; it’s evolving! It has come a long way in delivering value by predicting trends, minimizing churn, and identifying new business opportunities. However, in the era of big data, traditional EDW is failing to meet new business requirements, such as support for real-time and ad hoc customer analytics, new sources of data, and self-service capabilities
To know more about Data Warehouse Modernization, download the Forrester report ‘The Next-Generation EDW Is The Big Data Warehouse’.