Growing data volumes are a resource that many businesses wish to utilise for innovation, increased competitiveness and higher productivity. BES is close to its customers and, in many cases, already has access to the data through existing operating agreements. This provides a good basis for effective data flow and analysis.
Searching for information that may be relevant to your analysis can be time-consuming and unproductive. As a result, analysts end up recreating assets that already exist within the organization since they can be difficult to find.
Leverage big data analytics on new and larger data sources to gain deeper insights into consumer behavior, achieve improved profiling of individual consumers and businesses
Increased relevancy of targeted offers and campaigns
When you need to leverage upwards of 5 to 15 data sources to help make business decisions that are stored in Hadoop, a data warehouse, in the cloud or on your desktop in Excel, our Designers allows you to quickly connect to those data sources, bringing them into the workflow, and joining them together on common fields.
BES allows you to create the right data set for analysis or visualization by using data quality, integration, and transformation tools ― regardless of whether the data is structured, unstructured, or semi-structured.
Our workflow approach extends to the next step of doing analysis. Whether you are looking to leverage statistical, predictive, or spatial analysis, .
Once your analysis is complete, the next step is to get it into the hands of others. You can specify how you want to share your analytics insights by delivering reports in popular reporting formats and sharing it with anyone with the correct permissions to use and run their own analytics.
Customer analytics:- helps to understand customers’ preferences, customer segmentation, measure their response to promotions, as well as to price and product combinations Analytics is helping organizations predict purchase patterns, customer behaviours, lifestyle preferences,.
Marketing analytics:- helps to measure the success of marketing activities, identify market trends, benchmark against competitors, and analyze a product portfolio.
Sales analytics:- helps to check accounts by type and country, leads management, latest opportunities and wins, product performance and more.
E-commerce analytics:- s helps to conduct a complete customer analysis: segmentation, engagement with products, basket analysis, customer journey analysis, forecast customer demand, analyze the performance of categories, brands and SKUs, implement ‘you-may-also-like-it’ functionality on the e-commerce applications.
Financial analytics:- helps to solve specific financial tasks like effective cash flow, fraud analysis and working capital management, as well as contribute to establishing a true partnership between business managers and CFOs.
HR analytics:- helps to measure staff turnover, staff engagement, improve employee productivity, conduct recruiting analysis from different perspectives, as well as enable talent management analytics.
Operational and asset analytics:- helps to improve business processes, task improvement, process optimisation, assess supplier- and vendor-related risks, forecast demand and optimise inventory.
Industrial analytics:- helps to optimise production, assure product quality, product monitoring, equipment monitoring Equipment utilization and foster predictive maintenance, monitor equipment breakdown.