Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Click the links below to navigate to different sections What are data maturity models? Why do we need data maturity models?

Measurement 52

Measurement Modeling Data Quality Data Governance 52

CIO Business Intelligence

MAY 2, 2023

According to research firm Gartner , 89% of corporate boards say digital is embedded in all business growth strategies, but only 35% of organizations are on track to achieve digital transformation goals. This derailment stems from having no defined data strategy or having one not aligned with digital transformation objectives.

Digital Transformation 136

Digital Transformation IT Data-driven Metrics 136

Cloudera

DECEMBER 16, 2021

About the report. The Cloudera Enterprise Data Maturity Report is a global survey of 3,150 business and IT decision makers assessing organizations’ maturity when it comes to their current capabilities and handling of data and analytics. Tactic 1: Maintain performance standards while keeping up with the pace.

Data Strategy 85

Data Strategy Snapshot Strategy Reporting 85

CIO Business Intelligence

AUGUST 2, 2023

Ryan Snyder: For a long time, companies would just hire data scientists and point them at their data and expect amazing insights. That strategy is doomed to fail. The best way to start a data strategy is to establish some real value drivers that the business can get behind.

Manufacturing 86

Manufacturing Data Architecture Strategy Data Strategy 86

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 129

Data Architecture Data Warehouse Statistics Visualization 129

CIO Business Intelligence

APRIL 8, 2024

Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk. Like other data-driven initiatives, Souza says Digital Athlete uses data rather than hunches and instinct to understand what’s happening on the field during games and practices.

Analytics 100

Analytics Broadcasting Predictive Analytics Metrics 100

Smart Data Collective

JANUARY 26, 2021

You might use predictive analysis-based data that can help you analyse buying trends or look at how the business might perform in a range of new markets. Sometimes big data models can look at which keywords and topics are trending on social media and, as translation company Tomedes points out, that can involve multiple languages.

Data Architecture 122

Data Architecture Big Data Data Strategy Data-driven 122

CIO Business Intelligence

SEPTEMBER 14, 2022

technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends. The average salary for a systems engineer is $110,245 per year, with a reported salary range of $82,000 to $158,000 per year, according to data from Glassdoor.

Manufacturing 116

Manufacturing IT Software Digital Transformation 116

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines.

Slice and Dice 115

Slice and Dice Cost-Benefit Risk Data Governance 115

Alation

OCTOBER 5, 2021

Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols. Why is your data governance strategy failing? So, why is YOUR data governance strategy failing? Common data governance challenges. Top 3 Roadblocks to Successful Data Governance.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Cloudera

MARCH 29, 2022

It’s no secret that the cloud has become the go-to infrastructure foundation for a modern data strategy. Hybrid cloud is the Model of Choice. Hybrid cloud delivers that “best-of-both” approach, which is why it has become the de facto model for state and local CIOs. What makes (or breaks) a hybrid data cloud?

Cost-Benefit 97

Cost-Benefit Strategy Data Science Data Processing 97

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 133

Analytics Data Science Unstructured Data Data mining 133

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 117

Digital Transformation Strategy Data-driven Data Strategy 117

CIO Business Intelligence

MARCH 11, 2022

Digital transformation efforts, accelerated during the global pandemic, have created even more silo sprawl, adding to the complexity of the current data landscape. The exponential growth of data, coupled with a worldview in which individual domains produce and consume their own data, has made it difficult to create a shared data lens.

Digital Transformation 77

Digital Transformation Data Strategy Enterprise Risk 77

Smart Data Collective

MAY 10, 2022

Data analytics technology is rapidly becoming a more integral part of many company cultures. According to the 2021 State of Data Maturity Report, 32% of companies have formal data strategies. Data analytics serves many different purposes. This is going to improve employee satisfaction.

Data Analytics 133

Data Analytics Analytics Big Data Data-driven 133

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

CIO Business Intelligence

JULY 31, 2023

In his role, Vasagiri is responsible for the data and software assets deployed to Swiss Re’s clients, as well as the company’s overall data strategy. First there’s pre-NatCat planning for an effective response strategy. Second, RDA addresses post-NatCat planning to help insurers’ prioritize property inspections.

Insurance 85

Insurance Strategy Modeling Data-driven 85

Cloudera

OCTOBER 19, 2022

Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. With the rapid rise of technologies such as wearable personal devices, smart trackers, and mobile devices, telco companies are flooded with massive amounts of data every day.

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

CIO Business Intelligence

APRIL 11, 2022

With the focus shifting to distributed data strategies, the traditional centralized approach can and should be reimagined and transformed to become a central pillar of the modern IT data estate. It’s not about physically bringing all that data together into a centralized repository.”. over last year.

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

Cloudera

JANUARY 30, 2024

The universal industrial data challenge Data — as the foundation of trusted AI — can lead the way to transform business processes and help manufacturers innovate, define new business models, and establish new revenue streams. Develop a data strategy built on a robust data platform. That is a very low number.

Manufacturing 81

Manufacturing Contextual Data IoT Digital Transformation 81

CIO Business Intelligence

NOVEMBER 2, 2023

Rapid advancements in artificial intelligence (AI), particularly generative AI are putting more pressure on analytics and IT leaders to get their houses in order when it comes to data strategy and data management. But the enthusiasm must be tempered by the need to put data management and data governance in place.

Data Strategy 128

Data Strategy Strategy Sales Data Governance 128

Smart Data Collective

SEPTEMBER 4, 2020

Google has shown how to use big data effectively for decision-making , but many other companies don’t understand the principles to follow. Far too many businesses fail to develop a sensible data strategy, so their ROI from their data collection methodologies is often subpar. Guide to Creating a Big Data Strategy.

Data-driven 86

Data-driven Big Data Metrics Strategy 86

Smart Data Collective

JANUARY 27, 2022

Big data technology has become a very important aspect of our lives. More businesses than ever are transitioning to data-driven business models. Research has shown that companies with big data strategies are 19 times more likely to become profitable. 1 Equip Your Employees with the Right Data Analytics Tools.

Optimization 106

Optimization IT Big Data Cost-Benefit 106

TDAN

JULY 18, 2023

My company led a Data Management Assessment for a government agency this spring, using the Data Management Capability Assessment Model (DCAM), and delivered the final report at the end of May. In my last column comparing the DCAM to the DMM, I said that I’d share my observations with you so that you can get […]

Reporting 52

Reporting Management Modeling Data Strategy 52

IBM Big Data Hub

FEBRUARY 9, 2023

Building a data governance program is an iterative and incremental process Step 1: Define your data strategy and data governance goals and objectives What are the business objectives and desired results for your organization? This could include implementing new technologies or processes or making changes to existing ones.

Data Governance 76

Data Governance Business Objectives Data Quality Strategy 76

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer salary.

Analytics 124

Analytics Data Science Statistics Unstructured Data 124

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Semi-structured data needs to be reformatted and transformed to be loaded into tables.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

Cloudera

JANUARY 5, 2023

What is certain is that having an enterprise data strategy aligned to the organization’s cloud strategy and business priorities will help the organization drive greater business value by improving operational efficiencies and unlocking new revenue streams.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

CIO Business Intelligence

MARCH 15, 2022

They must also promote data as a shared business asset with value to drive agility and profitability. Most organizations are still struggling to fully leverage data assets for sustainable business advantage. Data champion to the rescue. Consider what happens when you flip the model and embrace data-driven modernization.

IT 89

IT Data-driven Digital Transformation Business Objectives 89

CIO Business Intelligence

OCTOBER 24, 2023

As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model.

Digital Transformation 144

Digital Transformation Data-driven Business Objectives Strategy 144

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. Customer data platform. Data management platform. Social media analytics.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

TDAN

OCTOBER 5, 2021

Data is the raw material for any type of analytics – whether it is related to historical analysis presented in reports and dashboards by business analysts, or predictive analysis that involves building a model by data scientists that anticipates an event or behavior that has not yet occurred.

Data Science 69

Data Science Dashboards Reporting Modeling 69

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Octopai

APRIL 19, 2021

Additionally, the BI team will have trouble pinpointing the cause of errors, leading to inaccurate reports. Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Andrew White

MAY 18, 2021

The other big data spat reporters in the papers this weekend concerned the EU privacy laws possible trapping Facebook. See WSJ Facebook Set Back in Ruling over Data Flows. The EU is bound to limit such data flows out of its region. This will help it demonstrate why its own EU Data Strategy is a good idea.

Data Strategy 59

Data Strategy Strategy Software Marketing 59

Cloudera

JUNE 7, 2022

We do that on-prem with almost 1 ZB of data under management – nearly 20% of that global total. And, as Deloitte put it: “Hybrid cloud is the de facto model”. . Where data flows, ideas follow. Today, we are leading the way in hybrid data. Cloudera is the only company that makes the hybrid data strategy a reality.

IT 112

IT Data Architecture Unstructured Data Big Data 112