CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

MARCH 11, 2022

Manufacturing is creating large volumes of data at the edge, which is yet another silo not easily available to the greater organization to inform business insights and initiate data-first decision-making. For a company to get to the desired outcomes, they need quicker access, not just to the data but to the insights from that data.”.

Digital Transformation 89

Digital Transformation Data Strategy Enterprise Risk 89

bridgei2i

OCTOBER 8, 2021

We’ve now spent a decade in the business of driving digital transformation for enterprises across the globe. With our unique proposition of digital consulting, proprietary AI assets and digital capabilities, today, we are helping enterprises REIMAGINE BUSINESS WITH AI. Industry Recognitions For BRIDGEi2i.

Digital Transformation 52

Digital Transformation Contextual Data Consulting IoT 52

bridgei2i

JUNE 23, 2021

Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion. BRIDGEi2i leaders explain why AI is an enabler to digital transformation.

Strategy 52

Strategy Enterprise Statistics Digital Transformation 52

Cloudera

AUGUST 6, 2021

We have increasingly moved purchases online in recent years fueled by the COVID-19 pandemic and general trends in Digital Transformation. In reality, organizations live on a continuum, varying in how sophisticated their data is and the extents to which it influences management decisions. . Data Strategy.

Data-driven 103

Data-driven B2B Data Strategy Strategy 103

IBM Big Data Hub

DECEMBER 20, 2023

Determine the tools and support needed and organize them based on what’s most crucial for the project, specifically: Data: Make a data strategy by determining if new or existing data or datasets will be required to effectively fuel the AI solution. Establish a data governance framework to manage data effectively.

Strategy 74

Strategy Business Objectives Cost-Benefit Consulting 74

CIO Business Intelligence

APRIL 19, 2022

By comparison, those who don’t prioritise making full use of their data may well continue to exist but the laggards in this space will eventually get left behind as the world transitions around them. Instead of opting for risking a ‘possible’ gain by investing in change and the value of data. Achieving data traction. Thrivers v.

Digital Transformation 59

Digital Transformation Data mining Strategy Insurance 59

Anmut

MARCH 22, 2023

You may like: £60bn Data Asset Management case study – How one CDO created value with data maturity What does a data maturity model look like? The Anmut 5-step data maturity model At Anmut, we’ve created a data maturity model in consultation with data managers, academics, and business leaders.

Measurement 52

Measurement Modeling Data Quality Data Governance 52

Sisense

SEPTEMBER 12, 2019

And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Every business needs a business intelligence strategy to take it forward. . The BI strategy played a major role in the setup, execution, and ongoing implementation of the BI platform.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

AWS Big Data

APRIL 26, 2023

About Huron Huron is a global professional services firm that collaborates with clients to put possible into practice by creating sound strategies, optimizing operations, accelerating digital transformation, and empowering businesses and their people to own their future.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Anmut

APRIL 6, 2021

Enterprise digital transformation and data. Most organisations undergoing a digital transformation understand that data is critical, but how many are actually managing data as an asset ? Your data isn’t fit for purpose. Your digital transformation initiatives fail. The result?

Digital Transformation 52

Digital Transformation Enterprise Data Quality Data-driven 52

Sisense

MAY 20, 2021

Guy calls for companies to build a two- or three-year cohesive strategy that inculcates the use of data and analytics throughout the organization. He says, “Every company must have an embedded data strategy that takes into account the working practices and all of the data needs of every division.”.

Analytics 98

Analytics Data-driven Strategy Measurement 98

bridgei2i

NOVEMBER 3, 2021

Aditya Karnani, Lead, Factory Performance & Reliability, Colgate Palmolive | Ronobijay Bhaumik, Director, Digital Consulting, Intelligent Operations, BRIDGEi2i. 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.

Manufacturing 52

Manufacturing Enterprise ROI Digital Transformation 52

bridgei2i

APRIL 28, 2020

My name is Aruna Babu and I’m a transformation consultant who spent a good part of the last decade crafting strategy that marries business, technology and user needs. Previously, Doug served as Vice President and Distinguished Analyst with Gartner’s Chief Data Officer research and advisory team.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

CIO Business Intelligence

MARCH 31, 2022

Chief data officer job description. The CDO oversees a range of data-related functions that may include data management, ensuring data quality, and creating data strategy. They may also be responsible for data analytics and business intelligence — the process of drawing valuable insights from data.

Consulting 134

Consulting Strategy Data Strategy Data Governance 134

CIO Business Intelligence

JANUARY 12, 2024

More importantly, AI can take traditional business process automation (BPA) to the next level, automating repeatable processes and operational workflows, says Paul Greenberg, president of The 56 Group consultancy. Another important application of ML/AI is data analytics.

Sales 127

Sales Marketing Data-driven Interactive 127

BizAcuity

MARCH 31, 2022

AI Adoption and Data Strategy. Lack of a solid data strategy. For the first, it is in best interest to do your own research, talk to friends, professionals and approach data services companies like ours. Data strategy allows you to build a roadmap to adopt AI. (Source: PwC).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Sisense

JULY 6, 2020

Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction. This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

bridgei2i

OCTOBER 20, 2021

A Practitioner’s View on AI-Led Transformation in Manufacturing. Aditya Karnani, Lead, Factory Performance & Reliability, Colgate Palmolive | Ronobijay Bhaumik, Director, Digital Consulting, Intelligent Operations, BRIDGEi2i. Ronobijay Bhaumik – Director, Digital Consulting, Intelligent Operations, BRIDGEi2i.

Manufacturing 98

Manufacturing Enterprise IoT Technology 98

erwin

SEPTEMBER 15, 2022

Discover new insights into data intelligence with Donna Burbank. Donna Burbank , Managing Director, Global Data Strategy, Ltd. The Importance of Data Intelligence to the Data-Driven Business”. Pinal is an expert in SQL Server performance tuning and works as an independent consultant.

Data Governance 52

Data Governance Consulting Data-driven Digital Transformation 52

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.

Management 81

Management Risk Measurement Optimization 81