bridgei2i

MAY 27, 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.

Statistics 98

Statistics Digital Transformation Data Processing Forecasting 98

Rocket-Powered Data Science

MARCH 19, 2021

The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

JUNE 8, 2023

With the VSP as context, can you describe your major digital transformation themes? Our transformation themes can be bucketed in three groups: business enablement, tech enablement, and digital savviness. The third theme is creating digital savviness, including upskilling and reskilling the business and IT workforce.

Manufacturing 98

Manufacturing Digital Transformation Strategy Sales 98

CIO Business Intelligence

APRIL 29, 2022

Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven data strategy. Contact HPE to learn more. __.

Digital Transformation 131

Digital Transformation Strategy Data-driven Data Strategy 131

Cloudera

APRIL 4, 2022

While challenges exist in data interoperability, privacy controls, ongoing compliance initiatives, etc, the industry has proven speed is possible despite these obstacles. . The analysis ranks these use cases based on both business impact and time to value, including guidance on how to achieve and measure success for your organization.

Data Lake 84

Data Lake Digital Transformation Manufacturing Sales 84

CIO Business Intelligence

OCTOBER 4, 2022

This is the underlying purpose of the digital transformation exercises that have been so significant to IT in recent years. For the CIO to be successful with this, there needs to be a comprehensive strategy that extends far beyond simply deploying new technologies. 1) Match the tech strategy to the business strategy.

Cost-Benefit 104

Cost-Benefit Strategy ROI Digital Transformation 104

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. Like most labels, “data-driven” is not a binary, black and white measure of capability. Data Strategy. Data and decision culture. Conclusion.

Data-driven 105

Data-driven B2B Data Strategy Strategy 105

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. Q4 Newsletter 2021. Read Article. Watch Here.

Digital Transformation 52

Digital Transformation Contextual Data Consulting IoT 52

bridgei2i

JUNE 23, 2021

Enterprise AI automates the end-to-end journey from data to value. However, due to a lack of foundation to embed AI capabilities, companies cannot successfully leverage AI into their data and operational strategy. Hence, before you onboard the AI solution, you need to address the data quality issues. Compliance.

Strategy 52

Strategy Enterprise Key Performance Indicator ROI 52

Sisense

DECEMBER 23, 2019

However, half-measures just won’t cut it when it comes to handling huge datasets. Data is growing at a phenomenal rate and that’s not going to stop anytime soon. Once your data is prepared for analysis, the next question is: how else can AI help you? It’s also a better way to monetize your data in the short term.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

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

Sisense

MARCH 24, 2020

With smart dashboards and KPIs , the BraunAbility team is able to tie discount data from marketing platforms to sales results in order to more effectively measure the impact of any discount. Premium Retail uses analytics to enable leading brands to measure sales performance, observe trends, and track execution.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

Anmut

MARCH 24, 2022

Now everyone, from government agencies and energy companies to manufacturers and century-old corporations, is rushing to follow their example and exploit the value of their own data. Over 70% of digital transformations fail, and most CDOs last less than two-and-half years. Build an evidence-based business case for change.

ROI 52

ROI Measurement Data-driven Data Transformation 52

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. The question is, what are you doing with it?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Sisense

SEPTEMBER 9, 2019

Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams. With this integrated data tech stack, we could feed in text from customer reviews and warranty claims to be processed by a Python NLP Engine in order to pull out key themes. Lessons Learned.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

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

Data Science 101

NOVEMBER 20, 2019

Big data and analytics run on the top priority list for all the organizations in the current era as the majority of the work happens on the data dashboards, reports, KPIs and visualizations. Analytics and Data Science are becoming key dimensions when it comes to considering any digital transformation initiative.

Big Data 103

Big Data Data Strategy Strategy Cost-Benefit 103

Smart Data Collective

OCTOBER 20, 2020

Database Management Practices for a Sound Big Data Strategy. It is difficult for businesses to not consider the countless benefits of big data. The benefits of data analytics are endless. So, how can you leverage the value of big data? You can start by coming up with a sophisticated database management strategy.

Big Data 98

Big Data Data Strategy Strategy Cost-Benefit 98

Cloudera

FEBRUARY 12, 2019

Armed with a fast data strategy, telcos now have the opportunity to position themselves as the backbone of digital enterprises and smart cities. According to IDC, Asia Pacific will spend US$583 billion on IoT by 2019 as businesses and cities accelerate their digital transformation efforts.

IoT 40

IoT Internet of Things Machine Learning Digital Transformation 40

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. Doug Laney: My pleasure.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

CIO Business Intelligence

JANUARY 12, 2024

Or, “We bought these CRM licenses but I’m not sure I’m saving my salespeople time, I’m not sure I’m making my marketing people more effective, I’m not sure I’m connecting marketing and sales data the way I thought I was going to.” Miller adds, “For AI to be really fruitful, you need massive amounts of data.

Sales 127

Sales Marketing Data-driven Interactive 127

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

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

Andrew White

APRIL 12, 2021

If you didn’t get it at the time you will now: Our connected storyline for data and analytics is re-engineering the decision. We collect millions of data points from our operation…to help forecast where demand is going to come from…or to optimize a certain part of the supply chain to be as effective as possible.”.

Analytics 59

Analytics Data-driven Publishing Digital Transformation 59

bridgei2i

OCTOBER 20, 2021

We have covered a whole range of topics around how enterprises are adopting AI and what it means for them in the context of digital transformation. Slowly and gradually, the industry trend shifted to the online sensors where you don’t have to run around just for the measurement. and data strategy.

Manufacturing 98

Manufacturing Enterprise IoT Technology 98

DataKitchen

JUNE 24, 2021

We needed to get the data from a centralized place into their hands so that they could get in the game of digital transformation.”. ” So I became focused on how to get data and analytic teams to be successful. So we really prioritized the data that we thought had the biggest chance of delivering success in the end.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Sisense

JULY 23, 2021

“We’ve had a growing realization that we need to measure the Games more precisely so that we can manage it more effectively going forward,” Chris says. Our Olympic Games Executive Director Christophe Dubi has a very strong belief in the notion that we can’t properly manage an Olympic event unless we can measure it.”.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

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? How is it possible to enable data-driven decisions in a systems thinking approach?

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

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

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. When are data products deprecated, and who is accountable for the consequences to their consumers?

Management 80

Management Risk Measurement Optimization 80

CIO Business Intelligence

APRIL 25, 2022

Teams that take a myopic view on cloud, analytics, database, and streaming technologies might create some measurable success, but viewed holistically their impact is limited. McKinsey reports in Building a Great Data Platform , a state-of-the-art data and analytics platform is no longer an option but a necessity for larger enterprises.

Data Architecture 117

Data Architecture Digital Transformation Data-driven Strategy 117

Alation

NOVEMBER 22, 2022

Data breach mitigation measures. Transparency over data usage. A firm data governance foundation doesn’t just prevent private data from being stolen – it builds trust and accountabiity within data teams and across the public they aim to serve. What Are The Data Challenges Facing The Public Sector?

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

BI-Survey

DECEMBER 22, 2020

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

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.

Metadata 64

Metadata Data Governance Dashboards Software 64

Sisense

NOVEMBER 23, 2020

Some challenges still remain, however, such as underdeveloped data capabilities, the ability to clearly articulate a business problem, and then measure the data/technical solution in a quantifiable way. The changing role of the data professional. Democratization of data.

Analytics 98

Analytics Data-driven Marketing Reporting 98