Srividya Sridharan

SEPTEMBER 5, 2019

Discover the themes and topics we'll be tackling at this year's Data Strategy & Insights Forum.

Data Strategy 81

Data Strategy Strategy Predictive Analytics Customer Analytics 81

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Natural Language Processing (NLP). Reduce Waste.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

Cloudera

MAY 12, 2021

Use cases for this category could include but are not limited to: people analytics and reporting; employee recruiting, retention and development; employee resource groups; diversity, equality and inclusion strategy; supplier diversity, and more. DATA FOR GOOD. A popular category last year, and no doubt this year too.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

Jenny Sussin

MARCH 8, 2017

Market research, competitive analysis, behavioral analysis, measuring campaign success, the list goes on and on as to how social analytics are helping marketers get their job done. But analytics leaders have much different primary problems. ” are all priority issues for analytics leaders.

Analytics 40

Analytics Dashboards Data Governance Marketing 40

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

Alation

MAY 16, 2023

Data is a valuable resource, especially in the world of business. A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

IBM Big Data Hub

APRIL 15, 2024

This can involve techniques like network segmentation to reduce congestion or using faster protocols like UDP for certain data types. By optimizing data transfer, we decrease the time it takes to retrieve the information you need. A data virtualization platform breaks down data silos by using data virtualization.

Analytics 67

Analytics Optimization Data-driven Metrics 67