IBM Big Data Hub

JUNE 23, 2023

Perhaps you are using a next-gen Enterprise Resource Planning (ERP) system and an unmatched F&A planning platform that delivers advanced predictive analytics. In this future, your F&A function is cutting edge. You may have also deployed the latest cloud-native innovations and improved your operating expenses in the process.

Finance 53

Finance Reporting Digital Transformation Interactive 53

Sisense

FEBRUARY 25, 2021

This is where forecasting analytics can be a game-changer in the decision-making process. In a recent webinar , I talked about how one of our customers, a performance theater owner, uses predictive analytics. That makes the data a perfect candidate for predictive analytics driven by vast computational power.

Forecasting 52

Forecasting Analytics Predictive Modeling Machine Learning 52

Jet Global

APRIL 24, 2024

With Logi AI, you, as an independent software vendor, can bring your own AI language model, giving you the flexibility to leverage the best technology available today and seamlessly switch to even better options as they emerge. Check out our on-demand webinar on empowering predictive analytics through embedded business intelligence.

Business Intelligence 52

Business Intelligence Dashboards Software Reporting 52

Jet Global

APRIL 18, 2024

However, the right embedded analytics technology can alleviate these valid stakeholder and customer concerns. Concerns over high infrastructure costs for self-hosting BI and analytics for your applications can stifle growth. This method circumvents the extensive costs and setup delays typical of traditional models. Here’s how.

Marketing 52

Marketing Analytics Data Processing Cost-Benefit 52

Timo Elliott

JANUARY 3, 2020

Innovations such as predictive analytics , machine learning, and artificial intelligence have allowed companies as small as five employees to access the same computing power as their larger competitors – only to take action faster and better. But this reality is no longer a guarantee that they will have the winning hand every time.

Key Performance Indicator 68

Key Performance Indicator Machine Learning Digital Transformation Strategy 68

TIBCO

FEBRUARY 21, 2017

In the case of data analytics, that means the development of increasingly sophisticated modelling tools that turn the insights they provide into action through automated business processes, as part of the much talked about digital transformation companies are now looking to achieve. Introducing the Insight Platform.

Data Analytics 45

Data Analytics Analytics Data-driven Digital Transformation 45

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Decision Management Solutions

OCTOBER 1, 2021

This webinar will show you how. Join Decision Management Solutions and IBM on October 20th for a technical deep dive into the innovative Mayflower Project. Learn how to harness AI and ML algorithms to positively impact your business outcomes.

Machine Learning 52

Machine Learning ROI Risk Management 52

Jedox

OCTOBER 8, 2020

It also underscored the importance of creating data-driven modeling capabilities, and developing the people, processes, mindset and technology to create a true culture of analytics within our organizations. The oil collapse of 2014 is another example of the importance of scenario planning.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

Sisense

MAY 31, 2020

“We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers. Sisense is delivering a beautiful front-end experience, powerful and flexible data modeling, and the opportunity to integrate at a very deep level.”

Marketing 98

Marketing Reporting Data Warehouse Predictive Analytics 98

Sisense

OCTOBER 27, 2020

Strategic analytics. Predictive analytics are the next step in your HR analytics journey. For this phase, start by designing your analytics needs, creating analytics mockups, and getting feedback. At this stage it’s important to prepare for additional questions, so make sure your data model allows for this.

People Analytics 74

People Analytics Analytics Cost-Benefit Key Performance Indicator 74

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. You can see it On Demand here. Moving to Modern.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Occam's Razor

AUGUST 22, 2011

Mobile Marketing and Analytics: Click-to-Call Mobile Ad Campaigns. Key To Your Digital Success: Web Analytics Measurement Model. Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. Accuracy, Precision & Predictive Analytics.

KPI 124

KPI Metrics Measurement ROI 124

Jet Global

MAY 1, 2023

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. These advanced analytics become easy for users to apply in their own analyses.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52