Remove Data Integration Remove Data Warehouse Remove Forecasting Remove Marketing
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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations.

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Top 10 Big Data CRM Tools To Increase Business Sales

Smart Data Collective

According to market research – The global CRM market size was estimated at USD 43.7 The current market is overpacked with several CRMs; hence, selecting the best CRM for business operations has become challenging for organizations. However, there are many CRMs in the online market, but nothing can beat Salesforce.

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Databricks’ new data lakehouse aims at media, entertainment sector

CIO Business Intelligence

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

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Financial Dashboard: Definition, Examples, and How-tos

FineReport

Budget variance quantifies the discrepancy between budgeted and actual figures, enabling forecasters to make more accurate predictions regarding future costs and revenues. Finance and accounting teams often deal with data residing in multiple systems, such as accounting software, ERP systems, spreadsheets, and data warehouses.

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How Amazon Devices scaled and optimized real-time demand and supply forecasts using serverless analytics

AWS Big Data

Every day, Amazon devices process and analyze billions of transactions from global shipping, inventory, capacity, supply, sales, marketing, producers, and customer service teams. This data is used in procuring devices’ inventory to meet Amazon customers’ demands. You can use it for analytics, ML, and application development.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%