Smart Data Collective

JUNE 10, 2019

Machine learning capabilities are at the heart of many of the features of Microsoft Dynamics. Machine Learning and Big Data Are Integral to Microsoft Dynamics. There are many individuals who look forward to learning Microsoft Dynamics. There are numerous features such as document customizer , analytics, BI, etc.

Big Data 85

Big Data Machine Learning Software Data Science 85

Smart Data Collective

AUGUST 29, 2019

His article talked about utilizing big data for everything from customer analytics to optimizing pricing strategies. The Becoming Human: Artificial Intelligence blog has talked about the utilization of machine learning in retargeting. Machine learning has helped retargeting advertisers get the highest possible ROI.

Sales 95

Sales Data-driven Marketing Strategy 95

Smart Data Collective

NOVEMBER 24, 2020

Features: interactive tables, graphs, dashboards data publishing access to a broad data range custom analytic applications data storytelling web and mobile. Advantage: user-oriented interface perfect for non-techie users. SAP Lumira. Unique feature: home screen with data sources available in one place.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

Cloudera

MAY 12, 2021

We welcome organizations that have built and deployed use cases for enterprise-scale machine learning and have industrialized AI to automate, secure, and optimize data-driven decision-making and/or applications to enter this category. DATA FOR ENTERPRISE AI.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Cloudera

AUGUST 6, 2021

In the first of two blog posts, we delve into customer analytics to examine where data makes a difference in delivering an exceptional customer experience. . Customer 360 is essential to connecting with customers.

Data-driven 105

Data-driven B2B Data Strategy Strategy 105

Sisense

AUGUST 19, 2021

Imagination is an underrated part of making analytics in your product really meaningful for users. Ashley is passionate about data, analytics, AI, and machine learning. Don’t settle for just dropping a data point or dashboard into your application.

ROI 98

ROI Cost-Benefit Marketing Testing 98

Cloudera

AUGUST 28, 2018

From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become mission-critical to organizations around the world. Enterprise Machine Learning. TECHNICAL IMPACT.

Machine Learning 65

Machine Learning Digital Transformation Consulting IoT 65

Smart Data Collective

MARCH 14, 2022

Advances in data analytics technology have made it easier than ever to develop SaaS models. Companies can leverage customer data and machine learning algorithms to offer the best possible service. Analytics doesn’t just help offer a better user experience to improve customer retention with customer data.

Modeling 124

Modeling Analytics Key Performance Indicator Sales 124

DataRobot

JANUARY 13, 2022

It offers a visual and intuitive UI that enables anyone to explore and prepare data for machine learning, no matter their previous machine-learning experience. This frees up data scientists to focus on more complex analytical tasks. AI in Customer Analytics: Tapping Your Data for Success.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Sisense

MARCH 30, 2021

The Sisense Q1 2021 release is focused on bringing customized analytics to each person. Rapid, code-free customization with Sisense Themes. Simplify the way you deliver a fully personalized analytics look and feel to each of your customers and end users using new Sisense Themes.

Dashboards 52

Dashboards Machine Learning Data Warehouse Marketing 52

bridgei2i

MARCH 11, 2021

The terms artificial intelligence and customer experience have been thrown around a lot in the last decade. The real question that needs answering is whether AI tools can provide businesses with real-time customer understanding. Partnering with top-quality artificial intelligence customer experience experts is a must.

Customer Analytics 52

Customer Analytics Machine Learning Optimization Enterprise 52

DataRobot Blog

NOVEMBER 8, 2022

AI in Customer Analytics: Tapping Your Data for Success. To do this, we built out a global, unified analytics platform—Synapse—which is our proprietary platform for delivering attribution, budget optimization, scenario planning, forecasting, and performance simulations across multiple outcomes, all in one ecosystem.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

Sisense

JULY 6, 2021

Topics covered included the opportunities presented by AWS’ new “Lake House” architecture, the benefits of pairing the right cloud solution with the right custom analytics platform, and how actionable intelligence from cloud sources can take a company’s embedded analytics to exciting new places. Get analyst report.

Data Lake 52

Data Lake Data Warehouse Data-driven Unstructured Data 52

IBM Big Data Hub

MAY 17, 2024

We’re moving away from the one-size-fits-all approach of traditional dashboards to more dynamic, customized analytics experiences. With the increased use of AI and machine learning in BI tools, managing data privacy and security becomes more complex.

Dashboards 77

Dashboards Business Intelligence Snapshot Interactive 77

Alation

MAY 16, 2023

A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. Machine Learning Data pipelines feed all the necessary data into machine learning algorithms, thereby making this branch of Artificial Intelligence (AI) possible.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

Domino Data Lab

JULY 28, 2021

They have enabled new cross-industry applications, such as in customer analytics and fraud detection. In fact, deep learning was first described theoretically in 1943. The most commonly used techniques today are under the umbrella of machine learning. None of these techniques are new.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Sisense

APRIL 29, 2021

In this article, we’ll explore three ways you can build a more personalized analytics experience for your customers and end users. The right data visualization will take your custom analytics to the next level. Defining personalization — a key to analytics success. Explore data vis libraries.

Analytics 52

Analytics Dashboards Machine Learning Visualization 52

IBM Big Data Hub

APRIL 15, 2024

Breaking down data silos: Fueling machine learning success with data virtualization AI has significantly transformed large companies, reshaping business operations and decision-making processes through advanced analytics solutions. The result is an optimized and agile value chain delivering significant competitive advantages.

Analytics 64

Analytics Optimization Data-driven Metrics 64

Cloudera

OCTOBER 30, 2018

These next-generation applications do more than consolidate a single view of the customer; they add a layer of data governance, synthesis, and identity, which powers a dynamic customer graph to fulfill the vision of contextual experiences. Learn More.

Unstructured Data 42

Unstructured Data Data Lake Machine Learning Interactive 42

Cloudera

AUGUST 3, 2018

Individually, these companies deliver great value to customers, so imagine the business outcomes and customer benefits made possible when two or more of these companies develop a joint offering. A recently-launched solution serves as an example of the power of partnerships.

Digital Transformation 40

Digital Transformation ROI Machine Learning Consulting 40

Cloudera

MARCH 6, 2018

The real power in machine learning and analytics is when multiple analytics disciplines are able to work together in concert, sharing data in service of solving more complex and more valuable questions. This puts the burden on the users to determine how to unify complex workflows.

Analytics 40

Analytics Metadata Recreation/Entertainment Big Data 40

Darkhorse

APRIL 9, 2018

The systems were set up to pay claims and report to customers. Analytics was never considered. Developing analytics to reduce fraud would be a huge competitive advantage if it were successful. Fraud analytics is one of the most valuable applications of machine learning.

Consulting 58

Consulting Cost-Benefit Machine Learning Analytics 58

Cloudera

JUNE 14, 2018

This shifts your organization to have data and analytics can inform what, where, when, why, and how to interact with customers, which in turn, helps identify marketing approach and justify spending. Cloudera’s modern platform for machine learning and analytics has endless possibilities–including as a marketing platform.

Strategy 44

Strategy Interactive ROI Marketing 44

FineReport

MARCH 24, 2024

Data Scientist Associate v2 (DCA-DS) Certification by Dell Technologies, affirming the ability to contribute to data analytics projects using various tools and techniques. AWS Certified Data Analytics – Specialty , for experienced analysts working with AWS cloud services, focusing on data lakes and analytics on the AWS platform.

Statistics 52

Statistics Data mining Visualization Reporting 52

Srividya Sridharan

OCTOBER 22, 2019

Over 300 data and analytics leaders will gather to share, learn and get inspired! It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. For those of you who have already registered and planning to attend, you answered one key question during the registration process: What is your top […].

Strategy 83

Strategy Data Analytics Analytics Data Strategy 83

Alation

MAY 16, 2023

A McKinsey survey found that companies that use customer analytics intensively are 19 times higher to achieve above-average profitability. Machine Learning Data pipelines feed all the necessary data into machine learning algorithms, thereby making this branch of Artificial Intelligence (AI) possible.

Data Lake 40

Data Lake Data Governance Data Warehouse Data Processing 40

Cloudera

SEPTEMBER 27, 2018

The Cloudera platform empowers organizations to do just that, transforming complex data into clear and actionable insights through its machine learning and advanced analytic capabilities. It helps precisely predict user behaviors and deliver new solutions and/or resolve issues—in real-time.

Interactive 40

Interactive Machine Learning Management Analytics 40

Srividya Sridharan

APRIL 10, 2020

The time of year has finally arrived when the sun lingers on the horizon longer and longer, life creeps back into the trees, and weather forecasts look much more favorable. But this normally welcome period of seasonal change coincides with unprecedented change in how we are forced to conduct business. In the midst of the […].

Forecasting 81

Forecasting Analytics Customer Analytics Data Architecture 81

Boris Evelson

JUNE 14, 2018

First, enterprise information architects should consider general purpose text analytics platforms. These are capable of handling most if not all text analytics use […]. Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb!

Unstructured Data 78

Unstructured Data Analytics Technologies Technology Analytics 78

AWS Big Data

MARCH 26, 2024

This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. Alternatively, you can build identity graphs using Amazon Neptune for a single unified view of your customers.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Sisense

MAY 27, 2021

For businesses looking to improve CX, data is a precious commodity: It has the potential to tell them much about their customers’ digital journeys, enabling them to address issues and adopt the intelligent product discovery and recommendations that will deliver more personalized service.

Forecasting 52

Forecasting Sales Analytics Marketing 52

Srividya Sridharan

APRIL 10, 2020

The time of year has finally arrived when the sun lingers on the horizon longer and longer, life creeps back into the trees, and weather forecasts look much more favorable. But this normally welcome period of seasonal change coincides with unprecedented change in how we are forced to conduct business. In the midst of the […].

Forecasting 40

Forecasting Analytics Customer Analytics Data Architecture 40

Jet Global

MAY 1, 2023

According to a 2019 ESG survey , developers were able to customize analytics based on what was best for the applications instead of making design choices to work with existing tools and were able to offer products that improved average selling price (ASP)and/or order value, which increased by as much as 25 percent.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

FEBRUARY 21, 2024

White-labelled embedded analytics software kicks this up a notch, but allowing you to beautify dashboards with your customer’s personal branding, guaranteed to catch the eye of their buying team. The Embedded Analytics Buyer’s Guide Download Now 2.

Analytics 52

Analytics Dashboards Predictive Analytics Software 52

Jet Global

JANUARY 19, 2024

Here are some of the top trends from last year in embedded analytics: Artificial Intelligence : AI and embedded analytics are synergistic technologies that, when combined, offer powerful capabilities for data-driven decision-making within applications. Scalability : Think of growing data volume and performance here.

Analytics 52

Analytics Dashboards Visualization Data-driven 52

Cloudera

DECEMBER 19, 2024

We also shared our Accelerators for Machine Learning Projects, or AMPs, which are templates for machine learning/AI models that customers can deploy with the click of a button and start to customize, reducing the time it takes to get models into production.

Metadata 75

Metadata Data Processing Machine Learning Cost-Benefit 75