Bring your company’s ‘dark data’ to light with this free new tool from Tamr

All the analytics tools in the world won’t do a company much good if it doesn’t know what data it has to analyze. Tamr offers a free, downloadable tool designed to help tackle that “dark data” problem.

Dark data generally refers to all the information an organization collects, processes and stores but doesn’t use for analytics or other purposes. It’s often unstructured or qualitative data that’s harder to keep track of than numerical data is, and by research firm IDC’s reckoning, it can account for as much as 90 percent of an organization’s information assets.

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Bring your company’s ‘dark data’ to light with this free new tool from Tamr

All the analytics tools in the world won’t do a company much good if it doesn’t know what data it has to analyze. Tamr offers a free, downloadable tool designed to help tackle that “dark data” problem.

Dark data generally refers to all the information an organization collects, processes and stores but doesn’t use for analytics or other purposes. It’s often unstructured or qualitative data that’s harder to keep track of than numerical data is, and by research firm IDC’s reckoning, it can account for as much as 90 percent of an organization’s information assets.

To read this article in full or to leave a comment, please click here


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Get the most out of your marketing stack by unifying data sources

puzzle pieces

GUEST:

When it comes to getting the most value out of data, successful companies take a practical approach, first defining their own data strategy and then determining the tools needed to get it done. A good example of this is Airbnb, which set their own data strategy and tools to help users more accurately price their home listings. Too often, however, companies fail to lay out a clear strategy, instead relying on the available tools to show them where they need to go. Unfortunately, these tools usually serve up packaged metrics with data that is too detailed and lacks cohesion.

The mobile marketing data landscape

marketing data landscape mobile

In VentureBeat’s The State of Marketing Analytics: Insights in the age of the customer, author Jon Cifuentes writes:

“Enterprises are stuck between fragmented data silos…There’s customer data, inventory data, log data, search data, reporting, analytics, CRM, session data, et. al – with different vendors supporting each. While “real-time” customer data sounds nice in theory, the actual process of broadcasting this information through the organization is time-consuming, expensive, fragmented, and frustrating.”

These cobbled-together sources and tools provide directional insight but don’t align with initial expectations, particularly as companies start requiring custom insights and metrics.  In fact, most companies quickly find themselves in exactly the situation they had hoped to avoid – working in increasingly complex systems with considerably higher non-value added workloads.

data silo

The challenge for companies is: how do you align your data vision with your unique acquisition, engagement and monetization strategies?

Purpose-built tools like app analytics, A/B testing, marketing automation, etc. have done a great job in recent years of allowing non-technical people to analyze data, run tests and engage users. However, since these tools were built for single-use cases and by separate companies with proprietary data stores, they have failed to address a core issue: the need to access the same user data in order to truly provide a personalized experience to each user.

Data-capture tools and user engagement tools also need to be integrated in order to provide a full picture of how changes impact the product downstream.  For instance, teams need to be able to apply user actions from app analytics to run A/B tests, which will in turn impact the user experience.

The path forward

The solution exists at the platform level: unifying data sources before applications are built on top of them, with a flexible 2-way structure that enables real-time integration between event and user data, at all levels in the stack, and not just based on basic pre-determined rules with segmentations on top.

data silo2

This type of structure makes it possible for events to be enriched by boundless user attributes (user state) and enables contextual analytics.  This, in turn, produces a robust targeting framework, because now the user state can be updated in any manner, in real-time.  For example, Glassdoor utilizes this methodology to deliver real-time dynamic notifications of job alerts to users based on their prior behavior when browsing the Glassdoor website.

While many marketing vendors are fighting to define themselves as integrated or unified marketing platforms, most still need to reach deeper down the stack and unify product and marketing tools with data tools at a platform level.   Because they refer to the same data source, there will be no discrepancies between insights and actions.  For example, segments defined for analytics will maintain the same properties in A/B testing or content delivery.  Applications developed on top of unified data platforms will be inherently more flexible and manageable.

From VentureBeat

Omniata is coming out of beta on September 24th!  You can reach us at [email protected] to learn more. Though just coming out of beta, we’re already tracking 300 million monthly active users, 2 billion events per day, and handling over 17,000 requests per second!

Alex Arias is the CEO and cofounder of Omniata, a unified data, analytics and user engagement platform.  For more than 10 years, Alex has been an entrepreneur and driver of innovation in digital services, working previously at Digital Chocolate and EA.  He’s been helping companies define their own Data Value Journey since cofounding Omniata two and a half years ago.


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New MadgeTech Data Logger Software Packed With Features

Announcing the release of MadgeTech Data Logger Software version 4.2.7.0 (MadgeTech Secure version 4.2.6.0.). This release…

(PRWeb September 22, 2015)

Read the full story at http://www.prweb.com/releases/2015/09/prweb12976432.htm

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Adobe gets creative with new data visualization product

Adobe company logos are seen in this picture illustration taken in Vienna July 9, 2013. Picture taken July 9, 2013. To match Special Report TAX-BIGTECH/ REUTERS/Leonhard Foeger (AUSTRIA - Tags: BUSINESS SCIENCE TECHNOLOGY LOGO) - RTX11VPB

VB INSIGHT:

Adobe is a strong and active player in the marketing tech landscape. We’ve studied their solutions in market across marketing clouds, mobile analytics and acquisition tools, and marketing automation tools at VB Insight. Frankly, with so many digital marketing solutions across so many areas — audience targeting, campaign management, social media, etc. — the company has to have a sturdy analytics platform integrating those disparate, but related marketing functions. Today, the company is introducing Analysis Workspace in Adobe Analytics, a reporting and data visualization tool to better help companies communicate what’s happening across all of these channels.

Data analytics is really tricky for most companies. But it’s a critical means to an end. You can’t have great marketing — social marketing, online advertising, even customer service — without great analytics. And since marketing is increasingly becoming wildly data dependent while taking on more responsibility for the overall customer experience, the use of data analytics across any organization simply needs to proliferate.

Except there’s one big, hairy problem there.

From VentureBeat

Most companies don’t have the skills in house to make sense of all the data. McKinsey is projecting that by 2018, demand for data scientists may be as much as 60 percent greater than the supply. Suffice it to say, companies are struggling to fill this gap with adequate data talent.

In our own recent report on marketing analytics, we asked over one thousand marketers two questions on this topic:

  • How effective is your marketing organization at generating insight?
  • How effective is your greater organization — outside of marketing — at translating that insight into action?

Unfortunately, for most marketers, this confidence level falls somewhere between “somewhat” and “not very” effective.

analytics effectiveness

Adobe is hoping its new visualization product, now available to all customers using Adobe Analytics suite, will mind that gap and help companies create better dashboards with broad business appeal — stitching together disparate data sources into a single view that makes sense for multiple lines of business — to more than just data analysts.

In a demo of the Analysis Workspace product yesterday, I saw a dashboard that’s flexible, can be built by non-data analysts, and could meet endless marketing insight functions for a business.

Adobe Analysis Workspace Screenshot

Above: Sample Adobe Analysis Workspace

Analysis Workspace — Highlights:

  • Simple, Photoshop-inspired Workflows: Analysis Workspace lets users simply drag and drop dimensions, metrics and segments to create any type of report.
  • Intuitive Data Visualizations: After dragging relevant components into an Analysis Workspace table, visualizations are applied to the table data set in real time. These visualizations can be easily manipulated, allowing users to resize, rename and swap between different charts and graphs with interactive elements — while introducing new sharing functions to better communicate insights.

Marketing dashboards are a dime a dozen. With over 800 tools in market supporting marketing data analytics, and plans for companies of all sizes to massively increase spend on analytics, one can’t overstate the importance of making sense of all this data. Adobe is hoping its latest product will help the non-data scientist come up to speed with marketing data.

More information:

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IDG Contributor Network: 5 myths about data encryption

It’s a heartache, nothing but a heartache. Hits you when it’s too late, hits you when you’re down. It’s a fools’ game, nothing but a fool’s game. Standing in the cold rain, feeling like a clown.

When singer Bonnie Tyler recorded in her distinctive raspy voice “It’s A Heartache” in 1978, you’d think she was an oracle of sorts, predicting the rocky road that encryption would have to travel.

Just a year earlier in 1977 the Encryption Standard (DES) became the federal standard for block symmetric encryption (FIPS 46). But, oh, what a disappointment encryption DES would become. In less than 20 years since its inception, DES would be declared DOA (dead on arrival), impenetrable NOT.

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RISC Networks Finds That IT Teams Require More Effective Data than…

Leader in Cloud and Data Center Analytics to demonstrate new Application Centric Visualization technology at AWS re:Invent 2015 in Las Vegas from October 6 – 9, 2015

(PRWeb September 24, 2015)

Read the full story at http://www.prweb.com/releases/2015/09/prweb12979745.htm

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