Why Data Science, DataOps, and Data Governance need Agile Methodologies

Social, Agile and Transformation

Data science requires questions, hypotheses, discovery, analysis, and recalibration. While the words I'm using to describe a data science are different than software development, the process and mindset are very applicable to agile methodologies. . It's called science for a reason.

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How Data and Analytics Leaders Can Master Governance

CEB IT

Forty-two percent of data and analytics leaders do not assess, measure or monitor their data and analytics governance, according to a recent Gartner survey. Good data and analytics governance enables faster, smarter decisions. Involve the broader organization in data governance.

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IoT Security: Don’t Sacrifice Data for Usability

CTOvision

Read why Christos Kalantzis says that organizations should not sacrifice data for the usability of the Internet of Things on Security Boulevard: Over the last decade, we’ve seen truly innovative […].

Avoid 5 Pitfalls When Building Data and Analytics Teams

CEB IT

The primary mission of many data and analytics leaders and chief data officers (CDOs) consists of building an effective data and analytics team to establish data and analytics as a strategic discipline within their organization. How to overcome a lack of data literacy.

Data 293

Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

The Best Ways to Organize Your Data Structures

CEB IT

Data hubs, data lakes and data warehouses are all significant areas of investment for data and analytics leaders to support increasingly complex, diverse and distributed data workloads. Gartner research found that 57% of data and analytics leaders are investing in data warehouses, 46% are using data hubs and 39% are using data lakes. Data hubs, data lakes and data warehouses are not interchangeable alternatives.

Data 239

Gartner Top 10 Data and Analytics Trends

CEB IT

Using augmented analytics , banks found that younger clients (aged 20 to 35) are actually more likely to transition into wealth management — a clear example of how relying on business users to find patterns, and on data scientists to build models manually, may result in bias and incorrect conclusions. Digital transformation has put data at the center of every organization. Businesses are awash with data. 2: Augmented data management. 6: Data fabric.

Trends 239

How AI Is Used in Data Center Physical Security Today

CTOvision

Read Maria Korolov explain how artificial intelligence and machine learning are used by data centers for physical security on Data Center Knowledge: Machine learning and artificial intelligence are touted as […].

Time to Think IoT Data, Not Endpoints

CTOvision

Read why Gary Audin says that it is time to realign focus from thinking about the endpoint devices to the Internet of Things data that is produced on IoT Evolution […].

How to Get Started With Master Data Management

CEB IT

The story quickly went viral, demonstrating the impact that poor data quality can have. Poor data quality is the unintended consequence of data silos and a lack of data and analytics governance. Technology alone is insufficient to solve the bigger problem of data and analytics governance. A Gartner survey found that organizations believe poor data quality cost them an average of $11.8 Many also confuse what is and isn’t master data.

Data 219

Maximizing data privacy: Making sensitive data secure by default

CTOvision

Read Ayal Yogev explain how companies can maximize data security by making sensitive data secure by default on Help Net Security : Consider the case of contact tracing, which has […].

.Net 219

Why B2B Contact and Account Data Management Is Critical to Your ROI

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. Given data’s direct impact on marketing campaigns, reporting, and sales follow up, maintaining an accurate and consistent database is a top priority for B2B organizations. This latest eBook aims to help marketing leaders understand the impact of data management on their company’s ROI.

Create a Data-Driven Culture by Influencing 3 Areas

CEB IT

Christine was recently appointed chief data officer (CDO) in a retail organization in the U.K. to develop a data-driven strategy. Her predecessor was mainly focused on supplying data to the business, but Christine knows the real goal is to drive business value from the data and analytics programs by providing insights based on the data. . Identify and communicate the business value of data. Address the cultural change impacts of a data-driven approach.

Data 227

CDOs Must Take the Lead to Improve Data Literacy

CEB IT

Data literacy — the ability to read, write and communicate data in context — is among the most important abilities for organizations today. By 2020, 80% of organizations will initiate deliberate competency development in the field of data literacy. “By By now, most organizations have identified the need to build a data-driven organization,” says Alan D. This is reflected by the increasing appointment of chief data officers (CDOs). Business value of data.

Data 239

Ransomware + Exfiltration + Leaks = Data Breach

CTOvision

Schwartz says that when organizations get hit by crypto-locking malware, preceded by data exfiltration, is it right to still label these incidents as being just ransomware […]. Read why Mathew J.

No, Data Is NOT The New Oil

CTOvision

In our many travels, conferences, speaking engagements, and other interactions with customers, technology vendors, press and others, we seem to often hear the same refrain: “Data is the new oil” as if that’s supposed to mean something profound. Artificial Intelligence Big Data and Analytics News ai ai-first artificial intelligence Cognilytica data dataset machine learning structured Data Unstructured Data

Data 226

Big Data Project Management: Data Must Flow!

CTOvision

I'm currently researching big data project management in order to better understand what makes big data projects different from other tech related projects. So far I've interviewed more than a dozen government, private sector, and academic professionals, all of them experienced in managing data intensive projects. What I'm finding is that professionals with experience managing such projects believe that big data projects do share characteristics with other types of projects.

ABCs of Data Normalization for B2B Marketers

Data normalization. It’s not a far stretch to suggest that the topic isn’t exactly what gets marketers excited in their day-to-day workflow. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals!

How Can Data Quality Enhance Trust In Artificial Intelligence?

CTOvision

Read Nallan Sriraman explain how data quality can enhance trust in artificial intelligence on Forbes : Companies now more than ever rely on data to create trustworthy insights to make […].

Is a Ransomware Attack a Reportable Data Breach?

CTOvision

Read Mark Rasch take a look at whether a ransomware attack can be classified as a data breach on Security Boulevard : One question that vexes security engineers, incident responders […].

Report 373

How to Achieve Smart Data Sharing

CEB IT

Data sharing remains crucial to team and organizational performance, yet organizations report that they struggle with how to create a trusted data-sharing culture. However, Lydia Clougherty Jones , Senior Director Analyst, Gartner, says “ Data and analytics leaders who are able to create a data-driven culture over a data-siloed culture drive more data and analytics value for their organizations.” Resist data hoarding.

How To 203

Gartner Top 10 Trends in Data and Analytics for 2020

CEB IT

The trials use a living database that compiles and curates data from trial registries and other sources. Data and analytics combined with artificial intelligence (AI) technologies will be paramount in the effort to predict, prepare and respond in a proactive and accelerated manner to a global crisis and its aftermath. Here are the top 10 technology trends that data and analytics leaders should focus on as they look to make essential investments to prepare for a reset.

Trends 240

The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. In fact, the majority of respondents agree—with 72.3% reporting that technographic data is either somewhat important or very important to their organization. The reason for this is simple—sales teams value technographic data because it makes essential selling activities easier and more efficient.

A Data and Analytics Leader’s Guide to Data Literacy

CEB IT

That’s essentially how a data-driven business functions when there is no data literacy. If no one outside the department understands what is being said, it doesn’t matter if data and analytics offers immense business value and is a required component of digital business. By 2020, 50% of organizations will lack sufficient AI and data literacy skills to achieve business value. In short, the ability to “speak data” will become an integral aspect of most day-to-day jobs.

Data 239

China proposes global data security standards

Venture Beast

China is looking to establish global standards on data security, saying it wanted to promote multilateralism in the area. Big Data Business Enterprise Security Bytedance category-/Law & Government/Government China data security TikTok

Future-Proof Your Data and Analytics Workforce

CEB IT

Data and analytics leaders cannot master today’s opportunities and challenges of digital business using yesterday’s roles and organization design. Chief data officers (CDOs) consistently mention lack of relevant skills or staff as one of the top internal roadblocks to success. Data and analytics ranked first among tech-related skills that CEOs will need most. Algorithmic business is creating new responsibilities and roles for those managing data and analytics.

Data 239

We need to democratize data literacy

Venture Beast

We're at risk of creating a new hierarchy of power: where the data literates reign over the data illiterates. Big Data Business category-/Business & Industrial data literacy

Data 112

Machine Learning for Builders: Tools, Trends, and Truths

Speaker: Rob De Feo, Startup Advocate at Amazon Web Services

Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). So how can a startup harness machine learning for its own set of unique problems and solutions, and does it require a warehouse filled with PhDs to pull it off?

Average Cost of a Data Breach in 2020: $3.86M

CTOvision

Read Marc Wilczek’s commentary on the average cost of a data breach in 2020 on Dark Reading : A recent survey of 3,200 people in 524 organizations that suffered data […].

Survey 289

How Veritone Uses AI To Help The Government Extract Value From Data

CTOvision

Artificial Intelligence Artificial Intelligence Companies Big Data and Analytics News AI artificial intelligence Data facial recognition government machine learning ML NLP transcription VeritoneTired of boring presentations and powerpoint slides? So were we!

Why the IoT presents major data challenges

CTOvision

Internet of Things (IoT) devices are generating huge volumes of data and that represents a challenge for organizations when it comes to processing and storing it.

How are Big Data and IoT Interrelated?

CTOvision

There has been rapid growth in the Internet of Things (IoT) and big data technologies amongst organizations and individuals. According to Forbes, it’s predicted that the amount of data generated […].

How ZoomInfo Enhances Your ABM Strategy

For marketing teams to develop a successful account-based marketing strategy, they need to ensure good data is housed within its Customer Relationship Management (CRM) software. More specifically, updated data can help organizations outline key accounts for their campaigns. And to begin the targeting process, marketing teams must develop an Ideal Customer Profile (ICP) with appropriate firmographic and behavioral data to ensure they’re going after the correct audience.Download this eBook to learn how to start improving your marketing team's data!

Data Management In The Age Of AI

CTOvision

Read Shailesh Manjrekar explain how companies can manage data with artificial intelligence on Forbes : How many times have organizations been told that data is their most important and strategic […].

Top Trends in Data Lakes

Information Week

Does it seem too early for data lakes to have trends? The reality is data lakes are on the very edge of business transformation efforts and dramatic change

Trends 142

Why Data and Analytics Are Key to Digital Transformation

CEB IT

In turn, data and analytics become strategic priorities. Data and analytics are the key accelerant of an organization’s digitization and transformation efforts. Yet today, fewer than 50% of documented corporate strategies mention data and analytics as fundamental components for delivering enterprise value. Leading organizations in every industry are wielding data and analytics as competitive weapons. Amplify the data and analytics discussion.

Data 239

Paxata: Adaptive Data Preparation

CTOvision

Paxata developed the first Adaptive Data Preparation™ platform built for the business analyst. The company’s technology dramatically reduces the most painful and manual steps of any analytic exercise, turning raw data into ready data for analytics, and empowering analysts to drive greater value for the business. Data prep has needed re-invention for 30+ years. Paxata leads the convo on self-service data integration, quality, enrichment, collaboration and governance.

Data 283

Best Practices for a Marketing Database Cleanse

As frustrating as contact and account data management can be, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information. Entrusting a vendor to help maintain its accuracy and completeness is no ordinary engagement. Download ZoomInfo’s latest data-driven eBook aimed to help marketing leaders understand the best practices around choosing a B2B contact data provider.

Data Preparation and Labeling for AI 2020

CTOvision

Garbage in is garbage out in computing, and it is especially the case with regards to machine learning data.

Varada raises $12 million to automate data lake management with AI

Venture Beast

Varada, a startup developing AI solutions to common data lake problems, has raised $12 million in venture capital funding. Read More.

Data 103

Why “Data Ownership” Matters

CTOvision

In Understanding data ownership in the data lake Elizabeth Koumpan, Executive Architect at IBM, writes: Depending on the organizational point of view, different ownership rules may apply in different situations to data. It is a tricky part when we deal with Data ownership while using external sources, especially if we use social data which is an essential element, as we build our cases for front office digitization, customer sensitive analysis and so on.

Data 223

MassMutual Explores Health Data from Wearables

Information Week

Life insurance giant MassMutual is exploring the use of health data from wearables to further refine its data science-created underwriting models

Data-Driven Marketing 101

This eBook highlights how data-driven strategies empower marketing campaigns through personalization tactics.