We leverage our award-winning work in statistical graphics to provide you with accurate, intuitive and insightful visualizations.The technologies we are exceptionally strong at include Programming (R, Python, D3.js, FusionCharts, Chart.js, Google Charts, HighCharts, Leaflet, dygraphs), Tool (Datawrapper, Tableau, RAW, Timeline JS, Infogram, Plotly, ChartBlocks), Cloud-Migration and Maintenance.
Human interactions generate a vast amount of textual data. Leverage this data to gain insights about your customers and clients. Blackcoffer enables you to quantitatively measure the impact of marketing campaigns, product launches and PR disasters in real-time, generating the intelligence you need to identify and react to a negative situation or capitalize on an opportunity.
We build predictive mathematical models of your business data which can aid you in forecasting future events, and adapt your organizations practices to the realities of a changing landscape.
The technologies we are exceptionally strong at include Programming (R, Python, Matlab, Stata, SAS), Quant (Statistical Analysis, Machine Learning, Artificial Intelligence, Optimization), Big Data (Spark, Hadoop, Scala), Cloud-Migration and Maintenance.
Retailers are grappling with demanding customers who are more informed and discerning. They are able to leverage the digital media to research online and to influence as well as be influenced by their peers. Analytics can help them to understand their customers better, forecast needs and demands efficiently, optimize on costs without compromising service quality and build lasting relationships with customers.
Our offerings in Retail Analytics include: Customer Analytics, Recommendation Engine, Loyalty Analytics, Response and Prospect Analytics, Churn Analytics, Profitability Analytics, Supply Chain Analytics, Operational analytics, Merchandising and Pricing Optimization.
Our machine learning services help you to teach algorithms to be smarter with large datasets that include specific information about images and language.
We utilize both supervised and unsupervised learning approaches to train your model on your input and output data in order to predict future outputs or to identify hidden patterns or intrinsic structures in input data.
We provide knowledge and assist you in making better decisions and forecasts. Every day, we utilize machine learning to make vital judgments in the educational, medical, and other sectors.
In today’s environment, Insurers are facing intense pressure from regulators, demanding customers, governments, changing technologies and competition. Analytics is recognized to provide solutions to all such challenges that the industry faces.
Our Insurance focused Analytics solutions include: Profitability Analytics, Customer Risk Analytics Evaluation, Marketing Mix Optimization, Subrogation Prediction, and Claims Litigation Prediction.
The Healthcare and Life Sciences industry has accumulated a considerable volume of data gleaned from internal sources, industry forums, regulatory bodies and social media. Globally this industry is being challenged by pressures to be more patient centric, reduce costs, and improve services and products. Analytics acts as an enabler for this industry by making it data driven which aids in overcoming these challenges faster and better.
Our solution combines discovery and statistical methods, information management technologies and sophisticated business understanding to provide relevant offerings that help you differentiate at the front and standardize at the core.
The solutions use data from internal data, enterprises, social media, partners and external data provider agencies to optimize operations such as ordering supplies and defining patient treatment plans; maximize the returns through pricing optimization and avoid device failures; and ensure compliance on promotional spend, etc.The solutions use data from internal data, enterprises, social media, partners and external data provider agencies to optimize operations such as ordering supplies and defining patient treatment plans; maximize the returns through pricing optimization and avoid device failures; and ensure compliance on promotional spend, etc.