DataRobot

JANUARY 13, 2022

But they often don’t have enough data scientists with the full range of domain expertise to realize its full value. Data scientists typically come equipped with skills in three key areas: mathematics and statistics, data science methods, and domain expertise. Ready to unlock the secrets of your data? Download Now.

ROI 52

ROI Machine Learning Experimentation Data Science 52

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. INDUSTRY TRANSFORMATION. Last, but certainly not least.

Digital Transformation 67

Digital Transformation Machine Learning Optimization Data Lake 67

Insight

MAY 12, 2020

One of these groups was struggling to find enough mentorship support from senior women within the data science domain at Clover Health, to say nothing of mentors with similar life experiences or work challenges, e.g. women of color. Who were these Insight alumni mentors?

Data Science 64

Data Science Data Processing Finance Measurement 64

Juice Analytics

OCTOBER 1, 2018

Legendary analytics guru Thomas Davenport takes a more neutral stance in his Harvard Business Review article What’s your Data Strategy? Davenport shares a few indicators that suggest more data offense is warranted. Consultants We’ve seen a couple different offensive data strategies by consulting firms.

IT 69

IT Snapshot Consulting Data Strategy 69

Cloudera

AUGUST 6, 2021

At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles. 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. .

Data-driven 104

Data-driven B2B Data Strategy Strategy 104

Smart Data Collective

JUNE 10, 2019

There are numerous features such as document customizer , analytics, BI, etc. It is important to learn the software thoroughly and the benefits big data offers to it. Big data has been instrumental to the evolution of this remarkable CMS. Understand the Relevance of Big Data for Microsoft Dynamics.

Big Data 72

Big Data Machine Learning Software Customer Analytics 72

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. In our world of Big Data, marketers no longer need to simply rely on their gut instincts to make marketing decisions.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Srividya Sridharan

MARCH 24, 2022

As the leaves start to grow again and the weather warms up, what better time than now to do some much-needed spring cleaning of your data and insights practices? In this edition of the Insights Beat, we dive into our Q1 research in data, analytics, and AI that highlights the best approach to get more […].

IT 72

IT Data Analytics Analytics Predictive Analytics 72

Srividya Sridharan

SEPTEMBER 3, 2020

And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets.

Data Strategy 108

Data Strategy Strategy Uncertainty Marketing 108

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.

Digital Transformation 66

Digital Transformation Consulting Machine Learning IoT 66

Srividya Sridharan

FEBRUARY 7, 2019

i] But it’s not always rosy for you as a data, analytics, and insights leader. You tirelessly toil to get value from your enterprise data and try to apply those insights at scale to impact business […]. It’s early February. Punxsutawney Phil predicted an early spring this year, and there is hope (and warmth) in the air.[i]

Enterprise 88

Enterprise Data Analytics Analytics Predictive Analytics 88

Srividya Sridharan

SEPTEMBER 3, 2020

And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets.

Data Strategy 40

Data Strategy Strategy Uncertainty Marketing 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. Instead, they have separate data stores and inconsistent (if any) frameworks for data governance, management, and security.

Analytics 40

Analytics Metadata Recreation/Entertainment Big Data 40

Aryng

OCTOBER 27, 2021

Every business needs new customers to grow. Some of these customers continue to buy the business’ product and soon become a valuable part of the company. While acquiring new customers are important, companies also tend to focus on retaining their loyal customers. This practice is called customer retention.

IT 52

IT Customer Analytics Data Science Analytics 52

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 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Cloudera

DECEMBER 2, 2020

With access to vast amounts of data from its customer base, the company knew its ability to mine this data would be a key driver of positive transformation. However, it was locked into an expensive legacy data warehouse which resulted in high operational costs and the inability to perform exploratory analytics.

Digital Transformation 66

Digital Transformation Cost-Benefit Data-driven Data Science 66

Cloudera

APRIL 4, 2019

All organizations, big or small, have a unique corporate culture that has been nurtured and mastered over the years. A company’s culture is its basic personality and the essence of how employees interact and work. It is the sum of company beliefs, ethics, expectations, goals, value and mission.

Insurance 53

Insurance IT Interactive Cost-Benefit 53

Boris Evelson

AUGUST 25, 2022

What differentiates these firms is that they have consistently invested time, effort, and resources across the five IDB competencies: strategy, data, platforms, internal partners, and practices. In our latest updated research, we found that: More […].

Data-driven 10

Data-driven Strategy Predictive Analytics Customer Analytics 10

Darkhorse

APRIL 9, 2018

Many organizations have begun to recognize the benefit of using analytics to support decision-making. Do you hire a data scientist? Do you build your own analytics team? Before we get too far, let’s make sure we answer the first question: Do you really need your own analytics capability? Analytics was never considered.

Consulting 58

Consulting Cost-Benefit Machine Learning Analytics 58

Cloudera

JANUARY 11, 2018

Cloudera and TDWI have recently partnered to outline key attributes to success for implementing customer insight solutions. These are the solutions that help us better capture customer data (across systems and touchpoints), open up that data to advanced analytics, and build data products that deliver insights and actions to customers.

Strategy 40

Strategy Data Warehouse Cost-Benefit Marketing 40

DataRobot Blog

NOVEMBER 8, 2022

Learn more from guest blogger Ikechi Okoronkwo, Executive Director, Business Intelligence & Advanced Analytics at Mindshare. Organizations like Mindshare, a global media agency network, drive client value by using data to understand consumers and how media influences them on a deeper level than any organization on the planet.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

DataRobot

DECEMBER 8, 2021

As noted in this report from Forrester®, “four out of five global data and analytics decision makers say that their firms want to become more data-driven and perform more advanced predictive analytics and artificial intelligence projects. Lifetime Customer Value. Automation is mostly about efficiency. Download Now.

Customer Analytics 97

Customer Analytics Analytics Data-driven Advertising 97