Smart Data Collective

DECEMBER 15, 2021

Creating a strategy that promotes your products and services is the first attempt at reaching your target audience. However, most marketing campaigns are not targeted because they fail to understand customers’ behaviors by leveraging data analytics. Gathered data enables business owners to understand the needs of buyers.

ROI 118

ROI Marketing Data Analytics Analytics 118

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Leveraging data where it lies.

Analytics 109

Analytics Digital Transformation Risk Forecasting 109

Cloudera

JANUARY 27, 2022

I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in. I recently attended one of Majesco’s excellent webinars hosted by Denise Garth, Chief Strategy Officer. Always Mindful of Privacy.

Insurance 86

Insurance IoT Risk Data Processing 86

datapine

OCTOBER 7, 2020

Identifying what is working and what is not is one of the invaluable management practices that can decrease costs, determine the progress a business is making, and compare it to organizational goals. Business metrics are used to evaluate performance, compare results, and track relevant data to improve business outcomes.

KPI 269

KPI Metrics Sales Visualization 269

Octopai

JUNE 19, 2023

For business users Data Catalogs offer a number of benefits such as better decision-making; data catalogs provide business users with quick and easy access to high-quality data. This availability of accurate and timely data enables business users to make informed decisions, improving overall business strategies.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. What is Data Governance in Banking? In banks, this means: Setting data format standards.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Cloudera

NOVEMBER 16, 2020

Use the Data Available. Besides the financial impact on an insurer’s results, society at large expects insurers to manage our collective premiums prudently including detecting and preventing fraud as much as possible. This requires a lot of data, a variety of data, and advanced analytic capabilities.

Insurance 102

Insurance ROI Marketing Machine Learning 102

Sisense

JANUARY 13, 2020

Analyzing data from disparate sources to identify relationships between processes, causes, and effects is part of what helps a business hone its product development strategy, manufacturing processes, the marketing and sales of those products, and the logistics of supply chain and delivery.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

IBM Big Data Hub

APRIL 4, 2024

Business Process Management (BPM) is a systematic approach to managing and streamlining business processes. Conversely, it has a larger scope than task management, which deals with individual tasks, and project management, which handles one-time initiatives. BPM is often confused with other seemingly similar initiatives.

Management 59

Management Cost-Benefit Metrics Consulting 59

FineReport

JUNE 19, 2023

Operational reports have the potential to greatly enhance business performance through the utilization of data-driven insights. These reports offer a structured and comprehensible representation of data, enabling a clearer understanding of complex issues that might otherwise remain elusive. Book a Free Demo 1.

Operational Reporting 52

Operational Reporting Reporting Key Performance Indicator Dashboards 52

IBM Big Data Hub

DECEMBER 20, 2023

Hybrid cloud has become the IT infrastructure of choice, providing the interoperability and portability organizations need to access data where and when they need it. Yet navigating the complexities of building and managing a hybrid environment poses unique challenges.

Strategy 102

Strategy Cost-Benefit Digital Transformation Optimization 102

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

Smart Data Collective

AUGUST 14, 2022

In addition to vulnerability assessment, DLP improves system administrators’ visibility – they can track how every user accesses data and bring the risk of a data leak to a minimum. When the people responsible for managing data transit know its course and actions, it’s easier to protect PII and IP.

Risk 124

Risk Cost-Benefit Software Reporting 124

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Mike Barlow , Managing Partner, Cumulus Partners.

Machine Learning 46

Machine Learning Big Data Data Science Data Warehouse 46

CIO Business Intelligence

JANUARY 30, 2024

“CIOs are in a unique position to drive data availability at scale for ESG reporting as they understand what is needed and why, and how it can be done.” “The As regulation emerges, the needs for auditable, data-backed reporting is raising the stakes and elevating the role of data in ESG — and hence the [role of the] CIO.”

Reporting 114

Reporting Data Quality Strategy Data-driven 114

Smart Data Collective

JULY 9, 2023

One effective way to achieve this is by implementing a centralized data system in your e-commerce studio to act as a hub for all your data – allowing for seamless collaboration and efficient management of your studio’s operations. Centralized data allows for better coordination and communication among team members.

Big Data 76

Big Data Data-driven Sales Risk 76

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

Ontotext

MAY 5, 2023

For example, they can detect hidden relationships between entities, suggest suspicious transactions or identify investment strategies or opportunities. For example, it can identify subsidiaries of a parent company or detect hidden ownership structures that may be indicative of reputational risk, fraud or regulatory violations.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 61

OLAP Slice and Dice Cost-Benefit Data Warehouse 61

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

Data Warehouse 107

Data Warehouse Cost-Benefit Machine Learning Modeling 107

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 97

Data Warehouse Data Lake Analytics Machine Learning 97

Jet Global

MARCH 22, 2023

Market Drivers and Current Trends Organizations are increasing focus on the potential value within big data, seeking to better understand their customers and improve their products. The challenge is collecting all that data into one place and making it understandable. Need their analytics to scale reliably with their app or software.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. This is where data governance comes in. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

IBM Big Data Hub

OCTOBER 20, 2023

Additionally, it’s crucial to consider the deployment and usage strategy for your AI platform. Enhanced security Open source packages are frequently used by data scientists, application developers and data engineers, but they can pose a security risk to companies.

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. Master data management. Data governance. Scoring – i.e. profitability or risk.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

datapine

OCTOBER 14, 2020

An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions. Simple, and no manual work is needed.

Dashboards 235

Dashboards Interactive Reporting KPI 235

FineReport

APRIL 24, 2024

Visual representations enable decision-makers at all levels to understand the implications of the data more clearly. This understanding empowers them to make well-informed choices based on a comprehensive comprehension of the presented information, ultimately leading to more effective strategies and outcomes.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

IBM Big Data Hub

JANUARY 9, 2024

These services included customer behavior analysis, inventory management and personalized marketing tools. These assistants, capable of handling numerous customer inquiries in real time, provided tailored responses based on individual customer data.

Data-driven 108

Data-driven Risk Modeling Marketing 108

Alation

JUNE 1, 2023

So it’s fitting that Snowflake Summit , the premier event for data cloud strategy, will occur at Caesars Forum in Las Vegas on June 26–29 (togas not required). As a 2-time Snowflake Data Governance Partner of the Year , Alation knows how important this event is to the Snowflake community. Key to guiding that mission is metadata.

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

CIO Business Intelligence

MARCH 6, 2023

The company, which customizes, sells, and licenses more than one billion images, videos, and music clips from its mammoth catalog stored on AWS and Snowflake to media and marketing companies or any customer requiring digital content, currently stores more than 60 petabytes of objects, assets, and descriptors across its distributed data store.

Data Lake 74

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 74

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? EA and BP modeling squeeze risk out of the digital transformation process by helping organizations really understand their businesses as they are today.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

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 ? But we also know not all data is equal, and not all data is equally valuable.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

DECEMBER 8, 2022

But by reviewing the offerings of the leading 18 vendors, Forrester Research’s new report, The Data Governance Solutions Landscape, Q4 2022 , can help you narrow your options based on core and extended features, size, and industry focus. Data Governance: Not Just a Defensive Strategy.

Data Governance 52

Data Governance Data-driven Strategy Risk 52

CIO Business Intelligence

NOVEMBER 14, 2022

Modern analytics is about scaling analytics capabilities with the aid of machine learning to take advantage of the mountains of data fueling today’s businesses, and delivering real-time information and insights to the people across the organization who need it.

Analytics 110

Analytics Machine Learning Testing Data Strategy 110

Jet Global

NOVEMBER 7, 2023

Meanwhile, Robert Half recruitment data shows that nearly 90% of hiring managers are having a hard time finding skilled talent to join their finance teams. CFOs will need to pursue a two-prong strategy, sustaining healthy revenue and reducing costs, to achieve financial stability and enhance investor confidence.

Finance 52

Finance Uncertainty Reporting Marketing 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52