Discussion Summaries| DI Deep Dive

Defining Data Science: The Role, Process and Next Steps

How do you define a data scientist? What experience is critical for a data scientist candidate? Is your firm’s data ready for the next step? Find out the answers to these questions and more in DI’s discussion summary Defining Data Science: The Role, Process and Next Steps.

Evaluation Process: Choosing the Right Vendor

With so many different types of data and data vendors, it’s easy to lose track of who is providing what and how often. Does your firm have an evaluation process in place? Let’s take a look at the things to consider when creating this type of process.

Using Analytics in the Sales & Marketing Process

How do you determine if your firm’s analytics are serving the sales and marketing teams effectively? How do you approach usage and process development when purchasing a data pack? This summary explores those questions and more.

RESOURCES

An Overview of the 5 Stages of Data Maturity

Data maturity is a measurement of how advanced a company’s data analysis is. Here’s an overview of the characteristics of companies at each of the five stages. Read More

Lead the Pack with Exceptional Analytics

Leading companies use customer analytics to deliver better customer experiences — and reap the rewards. Read More

The 6 Functions of a Data Team

Understanding the business value and benefits of having a data team, Periscope Data examines the functions that your team should be performing.
Read More

LATEST NEWS

Commentary: 3 must-haves for data in institutional asset management

Asset and wealth management firms have conventionally not been at the forefront of technological innovation. Here are three core requirements necessary within any data infrastructure in order to deliver what institutional asset managers need.
Read More

Data Analytics Is (Slowly) Transforming Private Equity

Data analytics is one of the hottest areas in business these days. Companies are increasingly adopting it to transform human resources, sales and marketing, business development, operations and other areas, across a wide spectrum of industries. The approach holds the promise of more objective decision-making and a stronger bottom line.
Read More

On The Journey To Data-Driven Financial Services

The constantly evolving economy requires financial services companies be data-driven—from mining interaction data to gathering consumer product expectations. Here’s a look at key considerations for improving data-driven insights.
Read More

DI Deep Dive Discussion Summaries

Defining Data Science: The Role, Process and Next Steps

How do you define a data scientist? What experience is critical for a data scientist candidate? Is your firm’s data ready for the next step? Find out the answers to these questions and more in DI’s discussion summary Defining Data Science: The Role, Process and Next Steps.

Evaluation Process: Choosing the Right Vendor

With so many different types of data and data vendors, it’s easy to lose track of who is providing what and how often. Does your firm have an evaluation process in place? Let’s take a look at the things to consider when creating this type of process.

Using Analytics in the Sales & Marketing Process

How do you determine if your firm’s analytics are serving the sales and marketing teams effectively? How do you approach usage and process development when purchasing a data pack? This summary explores those questions and more.

RESOURCES

An Overview of the 5 Stages of Data Maturity

Data maturity is a measurement of how advanced a company’s data analysis is. Here’s an overview of the characteristics of companies at each of the five stages. Read More

Lead the Pack with Exceptional Analytics

Leading companies use customer analytics to deliver better customer experiences — and reap the rewards. Read More

The 6 Functions of a Data Team

Understanding the business value and benefits of having a data team, Periscope Data examines the functions that your team should be performing.
Read More

LATEST NEWS

Commentary: 3 must-haves for data in institutional asset management

Asset and wealth management firms have conventionally not been at the forefront of technological innovation. Here are three core requirements necessary within any data infrastructure in order to deliver what institutional asset managers need.
Read More

Data Analytics Is (Slowly) Transforming Private Equity

Data analytics is one of the hottest areas in business these days. Companies are increasingly adopting it to transform human resources, sales and marketing, business development, operations and other areas, across a wide spectrum of industries. The approach holds the promise of more objective decision-making and a stronger bottom line.
Read More

On The Journey To Data-Driven Financial Services

The constantly evolving economy requires financial services companies be data-driven—from mining interaction data to gathering consumer product expectations. Here’s a look at key considerations for improving data-driven insights.
Read More