Smart Data Collective

FEBRUARY 15, 2022

Most companies have known for years that big data can be invaluable to their organizations. Many don’t have a formal data strategy and even fewer have one that works. According to one study conducted last year, only 13% of companies are effectively delivering on their data strategies.

Big Data 109

Big Data Data Strategy Strategy Data Quality 109

Smart Data Collective

NOVEMBER 2, 2022

Big data technology has changed the future of marketing in a multitude of ways. A growing number of organizations are leveraging big data to get higher ROIs from their organic and paid marketing campaigns. As a result, companies around the world spent over $52 billion on data-driven marketing solutions in 2021.

Marketing 138

Marketing Big Data Data-driven Sales 138

Rocket-Powered Data Science

MARCH 19, 2021

Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., Dynamic sense-making, insights discovery, next-best-action response, and value creation is essential when data is being acquired at an enormous rate.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately. Write Down Your Objectives.

Data-driven 86

Data-driven Big Data Metrics Strategy 86

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. Unfortunately, some business analytics strategies are poorly conceptualized.

Business Analytics 110

Business Analytics Analytics Data Quality Big Data 110

TDAN

AUGUST 17, 2021

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

Predictive Modeling 115

Predictive Modeling Modeling Data mining Big Data 115

Occam's Razor

JUNE 25, 2012

The way data is collected online and what happens to it is a much-scrutinized issue (and rightly so). Digital data collection is also exceedingly complex, perhaps a reflection of the organic nature, and subsequent explosion, of the internet. Web Data Collection Context: Cookies and Tools.

Data Collection 130

Data Collection Advertising Metrics Reporting 130

CIO Business Intelligence

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description. Data scientist skills.

Unstructured Data 131

Unstructured Data Data Analytics Analytics Structured Data 131

IBM Big Data Hub

FEBRUARY 9, 2023

Policies provide the guidelines for using, protecting, and managing data, ensuring consistency and compliance. Process refers to the procedures for communication, collaboration and managing data, including data collection, storage, protection, and usage.

Data Governance 76

Data Governance Business Objectives Data Quality Strategy 76

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 130

Analytics Data Science Unstructured Data Data mining 130

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Becoming a data engineer.

Analytics 119

Analytics Data Science Statistics Unstructured Data 119

IBM Big Data Hub

JANUARY 19, 2023

In implementing cohesive data protection initiatives, organizations that can secure their users’ data see huge wins in brand image and customer loyalty and stand out in the marketplace. The key to differentiation comes in getting data protection right, as part of an overall data strategy.

Risk Management 60

Risk Management Risk Strategy Data Strategy 60

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. This is aligned to the five pillars we discuss in this post.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

TDAN

DECEMBER 6, 2022

Small business owners often overlook data collection. However, if you run your own small business, ethically collecting consumer data is key to increasing your operational efficiency and creating sustainable growth. You don’t have to be a data enthusiast to collect and interpret consumer data either.

Data Collection 52

Data Collection Data Strategy Business Intelligence Big Data 52

IBM Big Data Hub

AUGUST 7, 2023

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

Smart Data Collective

MAY 27, 2021

With online data acquisition on the rise, we are treading into mostly uncharted waters. Industry-wide regulations in web scraping and other forms of automated data collection are practically non-existent and we probably shouldn’t expect any in the near future. Personal information in the US. What about the US?

Data Strategy 132

Data Strategy Strategy Data Collection Big Data 132

TDAN

MAY 18, 2021

This is made possible with appropriate data training of AI to multiple language translation by minimizing the complexity of the data collection and […]. Aside from being a type of scalability, it also adds various advantages to modern artificial intelligence (AI) technology.

Machine Learning 52

Machine Learning Data Collection Technology IT 52

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

Smart Data Collective

OCTOBER 4, 2023

Big data is more important for businesses than ever. Unfortunately, many are struggling to use data effectively. One study found that only 30% of companies have a well-articulated data strategy. Another survey showed only 13% of companies are meeting their data strategies’ goals.

Data-driven 95

Data-driven Advertising Data Collection Data Strategy 95

Smart Data Collective

JUNE 25, 2019

If you haven’t been paying attention over the last several years, big data is the reigning web 2.0 I recently came across a very valuable infographic on Dataconomy on the role of big data in e-commerce. Big data is making it more scalable in many ways. Leverage Big Data to its Fullest Potential.

Big Data 79

Big Data Marketing Advertising Strategy 79

IBM Big Data Hub

MARCH 26, 2024

Maximizing value with a holistic strategy The first step in maximizing that dual value is upfront due diligence to assess the current state of reporting readiness, alignment between ESG requirements and voluntary sustainability initiatives, and consider how to drive acceleration with future-proofed solutions.

Measurement 60

Measurement Metrics Strategy Reporting 60

IBM Big Data Hub

MAY 15, 2024

Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric. With a multicloud data strategy, organizations need to optimize for data gravity and data locality.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

TDAN

MARCH 3, 2020

In 2018, it was discovered that Cambridge Analytica had harvested the data of at least 87 million Facebook users without their knowledge after obtaining it via a few thousand accounts that had used a quiz app. There is no getting away from how incredibly valuable our data is. In 2018, the Global Data Mining Tools […].

Data mining 52

Data mining IT Data Strategy Data Governance 52

IBM Big Data Hub

MAY 21, 2024

At the time, Sevilla FC could efficiently access and use quantitative player data in a matter of seconds, but the process of extracting qualitative information from the database was much slower in comparison. In the case of Sevilla FC, using big data to recruit players had the potential to change the core business.

Reporting 67

Reporting Statistics Technology Consulting 67

TDAN

OCTOBER 1, 2019

IoT has a lot more to offer than merely establishing connections between systems and devices. We are in the digital age that Hollywood once fancied with sophisticated connected devices and technologies surfacing day after day. IoT is paving ways for new services and products, which were just a figment of our imagination up until a […].

IoT 40

IoT Internet of Things Technology Data Architecture 40

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Sisense

JULY 23, 2021

We are also working to factor in the COVID impact when making sense of the data and, more importantly, when communicating it.”. Chris and his team are increasing the volume of data being captured and using automation to augment their data strategy : “This is a real jump forward for us.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

IBM Big Data Hub

AUGUST 4, 2023

Data democratization inherently helps companies improve data security processes by requiring deliberate and constant attention to data governance and data integrity. This includes tools that do not require advanced technical skill or deep understanding of data analytics to use.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Occam's Razor

APRIL 29, 2013

It turns out that Marketers, especially Digital Marketers, make really silly mistakes when it comes to data. Small data. Marketer, is not spent with data you''ll fail to achieve professional success.]. Many used some data, but they unfortunately used silly data strategies/metrics. You'll get fired.

Marketing 166

Marketing Metrics Advertising Measurement 166

Alation

JULY 6, 2021

But first, they need to understand the top challenges to data governance, unique to their organization. Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. Why Do Data Silos Happen?

Data Governance 52

Data Governance Metadata Data Quality Risk 52