Creating A Digital Supply Chain For The New Normal Supply Chain leaders across enterprises were already dealing with various issues in trying to do their best to achieve their service levels such as End to End Supply Chain Visibility. Lack of Data in some cases to analyses why a particular SKU went out of stock.
How To Improve BI & Analytics Maturity In Your OrganizationAccording to a survey by Gartner, more than 87% of organizations are classified as having low Business Intelligence (BI) and Analytics maturity. This becomes a great impediment for organizations looking to improve the value of their data assets and exploit analytics. Spreadsheet-based analyses, personal data extracts,
5 Major Use Cases of Graph Analytics The application of graph processing and graph databases will grow at 100% annually through 2022 - GartnerData by itself has little to no value. Connecting data is essential to provide context, make sense of the underlying implications of data and for analytics to deliver value. Business users across the globe
How Different CPG Companies Are Leveraging Big Data & Analytics for Marketing and Product InnovationCompared to businesses in other industries, the ones in the Consumer Goods (CG) industry spend a colossal amount of money on marketing and advertising. Advertising campaigns tend to have a major influence on the shopping and buying behaviors of consumers, driving
BI and Analytics CoE: What You Need To Know For SuccessAnalytics enables your team to make confident decisions with actionable data, improving the bottom line for the entire organization. BI and analytics have proven their business value with their multiple use cases. Powerful analytics can give enterprises a headstart in the race of digital transformation.According
Accelerate Data Insights And ROI With Microsoft Azure Synapse Analytics The dynamics of analytics services are witnessing a paradigm shift with the launch of the Azure Synapse Analytics platform. Azure Synapse, built on Azure SQL Data warehouse, is an evolved analytics service, intended to bridge the gap between data warehouses and data lakes. It offers