Rocket-Powered Data Science

MARCH 10, 2020

Such a masterpiece is probably also a saga (the story of a journey), containing intrigues, strategies, and plots that move ingeniously, methodically, and economically (in three acts or less) toward some climactic ending (thus representing pathfinding ). Context may include time, location, related events, nearby entities, and more.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Rocket-Powered Data Science

JULY 14, 2023

As I progressed in my career into management roles for enterprise data systems, I gained a deeper understanding and appreciation of the synergies and interdependencies between system and user requirements. Analytics products represent the user-facing and client-facing derived value from an organization’s data stores.

Analytics 165

Analytics Internet of Things Prescriptive Analytics Data Science 165

Sisense

JULY 22, 2020

We have something called the Knowledge Graph that gathers all kinds of intelligence so we can give our customers smartness out of the box when we deliver our analytics, so what Guy and I collaborate on is on the under-the-hood side of where Sisense goes next. ” It’s a really good partnership that we have together.

Prescriptive Analytics 52

Prescriptive Analytics Dashboards Statistics Data-driven 52

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. To do this at scale, you have to use AI/ML services for decision-making.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

IBM Big Data Hub

JANUARY 17, 2023

With IBM’s data integration portfolio, you are not locked into just a single integration style. You can select a hybrid integration strategy that aligns with your organization’s business strategy to meet the needs of your data consumers wanting to access and utilize the data. Data science and MLOps.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

BizAcuity

MARCH 31, 2022

AI Adoption and Data Strategy. Lack of a solid data strategy. For the first, it is in best interest to do your own research, talk to friends, professionals and approach data services companies like ours. Data strategy allows you to build a roadmap to adopt AI. The top two concerns were-.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. 4) Predictive And Prescriptive Analytics Tools. How can we make it happen?

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do? Cognitive Computing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Andrew White

JANUARY 11, 2021

Do you recommend a consulting approach strategy rather than a CDO strategy? How do you think Technology Business Management plays into this strategy? Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52