Andrew White

NOVEMBER 1, 2019

The main angle was from the point of view of a university, but the point was related to business too: They (strategies) take too long to draft or define. Most of these strategies were effectively based on faith, hope, and charity. We have tried mightily to help organizations recognize what strategy is meant to be.

Strategy 56

Strategy Analytics Data-driven Data Strategy 56

CIO Business Intelligence

OCTOBER 24, 2023

When it comes to enterprise innovation, most employees are excited, yet it is important to recognize that a small percentage may be concerned about how they will communicate and collaborate with their peers, how they will complete their day-to-day tasks, and in some cases even worry about their level of job security.”

Digital Transformation 143

Digital Transformation Data-driven Business Objectives Strategy 143

Cloudera

JANUARY 5, 2023

As more industries mature digitally and widely adopt AI and machine learning technologies, 2023 will be a pivotal year for organizations looking to deploy emerging tech solutions company-wide to fulfill business objectives. 1- Treating data as a strategic business asset .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Cloudera

FEBRUARY 23, 2022

Their processes are ‘data driven’, their networks are trending towards automation, and AI systems are powering customer engagement in store , online and at home. This is all based on an enterprise IT architecture that is integrated, data rich, and agile. When it comes to enterprise offerings, it might be competitive.

Data-driven 90

Data-driven Advertising IoT Digital Transformation 90

bridgei2i

JUNE 23, 2021

AI can support three critical functions: automation of tasks, data-based insight generation, and building engagement between brand and customers. However, there are significant challenges that enterprises experience in embracing AI. It enables them to identify how their business can best use AI. Identify KPIs. Scale With Time.

Consulting 52

Consulting Key Performance Indicator Business Objectives Data Strategy 52

Sisense

MARCH 19, 2021

A lot of those remnants of the past remain in the position, but as the value of data has soared, a data executive’s success is increasingly tied to business goals. The changing demands placed on data executives. Data quality, availability, and security. Developing the modern data strategy.

Data-driven 52

Data-driven Data Strategy Strategy Business Objectives 52

Ontotext

SEPTEMBER 1, 2023

Enterprises worldwide are analyzing Generative AI capabilities and seeking ways to leverage them for a variety of use cases to improve their competitive edge and incorporate automation and efficiency. To avoid this, enterprises should consider: A comprehensive data strategy: to align data and AI initiatives with business objectives.

Risk 52

Risk Modeling Data Quality Data Governance 52

CIO Business Intelligence

MARCH 15, 2022

Using those principles as a guidepost, IT leaders can evolve culture and processes, starting with the formulation of a solid data strategy that maps to core business objectives and KPIs. The HPE GreenLake edge-to-cloud platform combines enterprise-grade controls delivered across a hybrid multicloud landscape.

IT 85

IT Data-driven Digital Transformation Business Objectives 85

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

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. Putting Data to New Use .

Insurance 81

Insurance IoT Risk Data Processing 81

Cloudera

JULY 29, 2022

Some even have too much data, so much so that the insights are obscured by the sheer volume and speed of the data coming in. All successful organizations have business strategies in place that help them achieve their objectives. The proof is in the pudding.

Data Architecture 84

Data Architecture Data Strategy Risk Management Strategy 84

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. However, many businesses seem to face a lot of challenges, which includes ensuring a ‘single source of truth’ across the organization.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Cloudera

SEPTEMBER 10, 2020

Digital transformation has been on the agenda for a long time, but the sudden need to respond to the unprecedented challenges of 2020, has meant the buzzword has become an executable reality for many enterprises. I’ve been lucky enough to see many organizations achieve this via our Cloudera Data Platform (CDP).

IT 103

IT Digital Transformation Business Objectives Data-driven 103

Cloudera

NOVEMBER 25, 2021

Common Use Cases for Cloud and Data Solutions . So, what are the common user cases we are seeing for enterprise data clouds? In partnership with AWS, we are excited to support customers as they navigate their cloud and data journey to ensure they can accelerate with confidence. About the author: .

Machine Learning 87

Machine Learning IoT Risk ROI 87

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. What is a Data Governance Strategy?

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

CIO Business Intelligence

APRIL 6, 2022

By George Trujillo, Principal Data Strategist, DataStax. I’ve been a data practitioner responsible for the delivery of data management strategies in financial services, online retail, and just about everything in between. But established execution patterns help the operating model, strategy, and vision stay on track.

Cost-Benefit 123

Cost-Benefit Digital Transformation Data-driven Strategy 123

Alation

AUGUST 26, 2021

Data Intelligence: Origin, Evolution, Use Cases. Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. Data Governance and Data Strategy.

Metadata 64

Metadata Data Governance Dashboards Software 64

Cloudera

FEBRUARY 22, 2021

I have developed this framework to help organizations not only establish the business case for investing in CDP, but also provide a mechanism to prioritize analytical investments based on specific business objectives (e.g., reduce technology costs, accelerate organic growth initiatives).

Cost-Benefit 78

Cost-Benefit Data Warehouse Data Processing Data Governance 78