Sisense

NOVEMBER 26, 2019

Digital transformation is a term that’s been thrown around since the 90s, but what does it mean? For most businesses, digital transformation means aligning all of your systems towards a new, more efficient and effective paradigm, something on which you can build the future of your business.

Digital Transformation 93

Digital Transformation Data-driven ROI Software 93

Sisense

SEPTEMBER 12, 2019

A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. . Every company has been generating data for a while now. There are two basic strategies that your company can take: .

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Alation

JUNE 14, 2023

At the recent webinar Fifth Third’s Journey to Data Mesh with Alation and Snowflake Kaleigh Lavorini , director of product ownership and data strategy at Fifth Third , explains that many people don’t know whether they’re a data source owner, or even where their data goes or who uses it. That’s a problem!

Data-driven 52

Data-driven Finance Uncertainty Digital Transformation 52

bridgei2i

NOVEMBER 3, 2021

We have covered a whole range of topics across how enterprises are adopting AI and what it means for them in the context of digital transformation. In this episode of AI to Impact, we’ll look at some of the best practices to get a buy-in to drive digital AI projects and make change real for all stakeholders. and data strategy.

Manufacturing 52

Manufacturing Enterprise ROI Digital Transformation 52

bridgei2i

APRIL 28, 2020

So, in our AI to Impact podcast, we’ll now be focusing on conversations with business leaders, digital transformation advisors, as well as AI and analytics thought leaders to discuss the impact of COVID-19 on enterprises, and how enterprises can recalibrate their focus for continuity and resilience.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

CIO Business Intelligence

OCTOBER 4, 2022

In the digital age, customers expect seamless experiences from the brands they do business with, regardless of where or how they buy goods and services. Customers gravitate to personalized interactions and show a preference for companies that anticipate and cater to their unmet needs. Embed CX into your data strategy.

Data-driven 111

Data-driven Machine Learning Interactive Predictive Analytics 111

CIO Business Intelligence

JANUARY 12, 2024

With AI, CRM systems can analyze vast amounts of data to deliver predictive analytics on business outcomes. It enables employees to “interrogate the data differently,” adds Forrester analyst Kate Leggett. “I Miller adds, “For AI to be really fruitful, you need massive amounts of data. I get a little bit of a crystal ball.”

Sales 128

Sales Marketing Data-driven Interactive 128

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Cloudera

JULY 26, 2021

PoS and transaction data to optimize supply chain operations). A growing desire for self-service analytics among internal data consumers and knowledge workers, external partners and clients. A typical example is how large Retailers enable CPG companies to gain real time visibility into consumer buying behaviour (e.g., Conclusion.

Strategy 119

Strategy Data Science Marketing Unstructured Data 119

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? First, it can provide continuous transformation opportunities for the organization. It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI.

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

CIO Business Intelligence

APRIL 7, 2023

Most notably, for about 71% of IT leaders, angst about security creates a barrier to adoption, mandating that approaches, infrastructure, data strategies and security be appropriately aligned 3. Overcoming GenAI challenges holds epic potential for enterprises.

Enterprise 105

Enterprise Cost-Benefit Modeling Digital Transformation 105

InsightOut

OCTOBER 15, 2021

An organization, with its internal teams and external stakeholders, must collectively harness resources and capabilities to achieve common business goals and maximize the ROI on investments in data analytics and digital transformation in general.

Dashboards 52

Dashboards Key Performance Indicator Digital Transformation Metrics 52

Jen Stirrup

NOVEMBER 15, 2022

However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. How can systems thinking and data science solve digital transformation problems? Therefore, interacting with systems using minimal technical skills is very beneficial.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

Sisense

MARCH 17, 2021

For example, as organizations increasingly move their data to the cloud, a cloud-native architecture must form the linchpin of a robust data strategy, without ignoring the fact that there may be local, on-premises data sources that remain important to the organization, and that must be addressed with a hybrid approach that handles both.”

Analytics 97

Analytics Data-driven Visualization KPI 97

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Acts as chair of, and appoints members to, the data council.

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Management Risk Measurement Optimization 79

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Digital Transformation. Data Intelligence and Data Governance.

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Metadata Data Governance Dashboards Software 64