Use Text Analytics Technologies To Handle Mountains Of Unstructured Data

Forrester's Customer Insights

Luckily there are mature technologies out there that can help. First, enterprise information architects should consider general purpose text analytics platforms. These are capable of handling most if not all text analytics use […]. Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb!

Proven AI solutions for modern planning

Jedox

For the increasing support of planning, budgeting and controlling processes through advanced analytics and AI solutions, powerful data management and data integration are an indispensable prerequisite. For controlling, this means using predictive analytics to produce more forward-looking analyses and increasingly decision-relevant forecasts instead of focusing on past tense reports. Data management and data integration as the basis for advanced analytics.

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Data integration: The key to AI-supported planning systems

Jedox

In our previous blog post “ Proven AI solutions for modern planning “, we shared detailed insights from Dr. Rolf Gegenmantel, our Chief Marketing & Product Officer, into data management and data integration as a basis for advanced analytics and automated sales forecasts at Mitsui Chemicals Europe. Thought Leadership Artificial Intelligence (AI) Customer Recommendation Customer Success Making AI Real Predictive Analytics technology

How a modern software solution facilitates financial consolidation

Jedox

Jedox Software Thought Leadership Business Intelligence CPM Data Visualization Financial Performance Performance Management Predictive Analytics technologyPlanning, budgeting and reporting isn’t the only function in finance that can be automated and consequently simplified by software solutions. Financial consolidation can also be optimized with the right software tool.

Up Your Analytics Game: How to Empower People to Take Action

Speaker: Tom Davenport, President’s Distinguished Professor of Information Technology and Management, Babson College

Join top-ranked analyst and bestselling author of Competing on Analytics, Tom Davenport, to learn how analytics technology provides Financial Services HR professionals with unique insights that create strategic value.

Brittleness, Murphy?s Law, and single-impetus failures

DMBS2

Analytic failures that stem from misleading data sets. A lot of analytics turns out to be adversarial. Analytic technologies TextIn my initial post on brittleness I suggested that a typical process is: Build something brittle. Strengthen it over time. In many engineering scenarios, a fuller description could be: Design something that works in the base cases. Anticipate edge cases and sources of error, and design for them too. Implement the design.

Brittleness and incremental improvement

DMBS2

As a general rule in IT: New technologies and products are brittle. The technology was only able to generate apps that performed a limited set of functions — too limited to be useful outside of certain niches — and never successfully evolved further. Many of the previous points apply to enterprise applications, which facilitate business processes, have UIs, and commonly involve platform-like technology as well.

What Should Your Enterprise Expect from its Cloud Analytics Vendor?

Teradata

Large enterprises are investing heavily in cloud-based analytics technologies. What qualities should they be looking for in these cloud vendors? Find out more

Can analytics help keep students from dropping out of school?

IBM Big Data Hub

IBM Analytics technology can help schools make the most of this raw data by gathering it, analyzing it and visualizing it in a way that is useful for educators

How Is Big Data Analytics Adding A New Frontier To Ecommerce Space?

DataFloq

Information is the oil of the 21st century, and analytics is the combustion engine - Peter Sondergaard, Senior Vice President, Gartner.It The leading players have already started embracing the big data analytics technology to reap great benefits, engage customers, and engineer new experiences. All companies are not tapping the potential of technology, but those have used the big data technology tactically, they are standing on the top of the ladder.

Our Top 20 Most-Read Data and Analytics Research Last Week (to Sep 27)

Andrew White

Top 10 Trends in Data and Analytics, 2020 was our most-read piece of research across Data and Analytics last week, ignoring branded research such as Magic Quadrants etc. The post Our Top 20 Most-Read Data and Analytics Research Last Week (to Sep 27) appeared first on Andrew White.

Buyer’s Guide for Embedded Analytics

Selecting the right embedded analytics technology in a crowded market filled with sub-categories can be a daunting task. This eBook discusses the top evaluation criteria buyers of embedded analytics need to consider.

Our Top 20 Most-Read Data and Analytics Research Last Week (to Sep 20)

Andrew White

Top 10 Trends in Data and Analytics, 2020 was our most-read piece of research across Data and Analytics last week, ignoring branded research such as Magic Quadrants etc. The post Our Top 20 Most-Read Data and Analytics Research Last Week (to Sep 20) appeared first on Andrew White.

How To Manage The Risks Within Enterprise Analytics

DataFloq

Business users now have greater than ever access to data & analytics technologies so that they can obtain current insights on their KPIs. The opportunity for businesses is to simultaneously provide support for self-service analytics, whilst ensuring security and integrity. Self-service analytics will encourage the promotion of a data-driven culture resulting in transparent processes & business decisions backed by numbers.

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AI and the Future of Business Intelligence

DataFloq

As stated in an article on GoodData, “Artificial intelligence in business intelligence helps democratize data and improve analytics adoption. Radical advances in computing power, predictive analytics, machine learning, and AI have opened the door to a new generation of BI tools.”. Today, traditional analytics as a component of business intelligence is becoming a thing of the past. In fact, Gartner’s Top 10 Data and Analytics Technology.

Open Source: A primer for Big Data

DSI Analytics

The post Open Source: A primer for Big Data appeared first on DSI Analytics. Technology apache hadoop Big Data open sourceIt is nearly impossible to talk about Big Data without making frequent reference to a broad ecosystem of computer code that has been made available for use and modification by the general public at no charge. History of open source In the early days of computing, computer code could be considered an idea or method, […].

Useful Big Data: The Fastest Way

DSI Analytics

The post Useful Big Data: The Fastest Way appeared first on DSI Analytics. TechnologyThese days, even small to mid-sized companies can start getting valuable insights from Big Data within just a few weeks or even days. Of course, there are several flavors of Big Data, most of which fall into the categories of machine generated or customer journey data. There are also many ways to capture and use […].

Data Analytics Is Vital To Digital Marketing Training During Pandemic

Smart Data Collective

Fortunately, new data analytics advances can help. Data analytics technology is transforming the future of online education. However, new analytics technology will be just as critical for online training of various careers.

Predictive Analytics Solutions Bolster Crypto Trading Security in 2019

Smart Data Collective

New advances in predictive analytics are helping solve many of these threats. Here are some reasons that predictive analytics technology is going to be the best line of defense against hackers and malware for the foreseeable future. This is where predictive analytics technology can be invaluable for security purposes. Predictive analytics technology is essential for identifying the regions where most of these attacks originate.

A Use Case For Business Intelligence Vs. Text Analytics Tools

Forrester's Customer Insights

I recently answered a client question regarding an application that could be based on either business intelligence (BI) or text analytics technology. advanced analytics business intelligence robotic process automation (RPA) text analytics RPAQuestion: “We receive quarterly and yearly account statements for our investments. Each statement will contain key pieces of information, such as total contributions, expenses, interest income, etc.

Growing Importance Of Predictive Analytics For Recovery Point Objectives

Smart Data Collective

Predictive analytics is revolutionizing the future of cybersecurity. A growing number of digital security experts are using predictive analytics algorithms to improve their risk scoring models. This means that predictive analytics is becoming more important.

Analytics Democratization Continues As KXEN Finds A New Home

Srividya Sridharan

SAP today announced plans to acquire KXEN, a provider of predictive analytics technology. This is an interesting development for both companies and highlights the focus on the democratization of predictive analytics, especially for marketers. The proposed deal puts the spotlight on two shifts in the analytics landscape: […]. customer analytics customer insights predictive analytics

Three Critical Success Factors in Building an Analytic Enterprise

Decision Management Solutions

Everyone it seems wants to be an analytic enterprise. But what does it mean to be an analytic enterprise? An analytic enterprise applies analytics deeply and broadly. It uses analytics to solve its most critical run-the-business problems. It uses increasingly advanced and analytics to maximize its ability to get value from its data. If you want to learn more about building an analytic enterprise, check out our white paper at [link].

Does Data Analytics Help With Selecting An IT Provider?

Smart Data Collective

Data analytics technology plays an important role in the modern consumer decision-making process. Even consumers looking for an IT provider might turn to data analytics technology. You can use data analytics insights to select a provider much more easily.

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Augmented Data Discovery Makes Advanced Analytics Easy!

Smarten

What is Advanced Analytics and Is It Suitable for Every Business? Advanced analytics is an aspect of data science, leveraging sophisticated algorithms, methodologies and tools to understand trends, and patterns, and predict future results. As this industry has evolved, advanced analytics technologies have incorporated machine and comprehensive visualizations to analyze and view data.

Oracle Analytics Summit 2019 – Making It Easy for the Customer

Perficient Data & Analytics

On Tuesday of this week I attended the invitation only, 1st annual Oracle Analytics Summit at the Skywalker Ranch just outside of San Francisco. At the Summit Oracle introduced new analytics products and announced plans to simplify the products and unify them under the Oracle Analytics brand. Additionally, and importantly, Oracle announced that this was the start of a new era for Oracle Analytics and that this era will be focused on the customer first.

Gartner Analyst’s Take on Decision Management: What It Is and Why You Need It

Decision Management Solutions

Business process management (BPM) and application development teams using rule engines and embedding business logic into the business processes and into the application systems Analytics and data science teams producing data science models and reports to help people make better decisions Management science teams, also called operations research teams, use sophisticated mathematical techniques, such as optimization to find the best available solution in complex decision scenarios.

Predictive Analytics Is Reshaping UX In The Global Gaming Industry

Smart Data Collective

They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior. They have developed analytics models to address looming changes in the dynamic industry. SAS admits that the predictive analytics technology they have worked on has progressed more slowly than they originally anticipated. What types of approaches do gaming companies use to develop predictive analytics models?

Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. By banking on prescriptive analytics, casinos can not only prepare and plan to take make the most of future opportunities but also avoid and tackle any impending risks and problems.

The Future of Data Mastering at Scale Takes Center Stage at Tamr’s DataMasters Summit 2020

Tamr

Attendees will hear first-hand from data leaders how they’ve overcome business challenges, adapted to changing environments, stayed on top of the latest technology, and, most importantly, turned their data into actionable insights and business outcomes. .

Top 10 Analytics Trends for 2019

Timo Elliott

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s. Augmented analytics platforms based on cloud technology and machine learning are breaking down the longest-standing barriers to analytics success.

Predictive Analytics Asset Valuations: New Opportunities or the Start of Another Futures Bubble?

Smart Data Collective

They should use the latest technology to have a competitive edge in the market. New technology has always been at the forefront of the financial industry. The emergence of flash trading is a prime example of a new technology that hurts short term traders. The same can be said about predictive analytics. AISHWARYA SINGH from Analytics Vidyha points out that new advances in predictive analytics technology are reshaping financial trading.

Data privacy perceived as the biggest obstacle to deploying security analytics solutions

BI-Survey

T he proverbial computing troika – the technological trio of cloud, mobile and social computing – is not showing any signs of slowing down. The adoption of innovative technologies that create new business models and provide substantial cost savings is going to continue whether IT departments like it or not. As the results of our study clearly indicate, general awareness of various security analytics technologies is high across all surveyed industries.

Is Predictive Analytics Revealing Unexplored eCommerce Niches?

Smart Data Collective

Predictive analytics is one of the biggest disruptive technologies shaping the eCommerce industry. IQLECT published an article on this last year titled The Importance of Predictive Analytics for E-commerce Stores. The article pointed out that companies have lagged implementing predictive analytics technology, due to cost and complexity concerns. However, this has changed as new AI technology has become more widely available.

Data and Analytics from a Mexico Perspective

Cindi Howson

We held our inaugural Data and Analytics Summit in Mexico City last month. Here’s what I learned about data and analytics from the Mexico perspective. Data and analytics is hot. Data and Analytics once again tops the list of CIO priorities globally and also in Latin America. in adoption of newer data and analytic technologies and practices. But others also had deployed modern analytics and BI platforms.

AI+BI: Augmented analytics will soon bring data-driven insight to the masses

Birst BI

If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics. Machine learning has two imminent, profound implications for individuals and companies using BI and analytics applications. For the vast majority of information workers, this is the definition of self-service analytics.

Traditional security with a universally high adoption across all sectors

BI-Survey

L ooking closer at the usage of various security technologies across different industries, we can see that the only tools with a universally high adoption across all sectors are traditional security products like firewalls, endpoint security solutions and intrusion detection systems to a certain extent. When it comes to more advanced technologies, however, adoption rates vary dramatically. Breakdown of used technologies across different sectors (N=208).

The Incredibly Important Role Of Big Data In Academia

Smart Data Collective

According to a 2015 whitepaper published in Science Direct , big data is one of the most disruptive technologies influencing the field of academia. Any concerns over how affordable it is to start processing a large amount of data is removed due to the advent and expanded use of information and communication technologies. Many people are debating the impact data technology will have on academia.

Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior. The vast majority of financial services companies use the data within their applications for what is called “ Descriptive Analytics.”

What is Big Data Analytics?

Mixpanel on Data

Companies use big data analytics to uncover new and exciting insights in large and varied datasets. These analytical insights help teams make quick, informed decisions and build satisfying products. Big data analytics isn’t a synonym for data science, though the two are often confused. Like physics, data science is the entire field of study, whereas big data analytics is just a tool and an activity, like a lab experiment—albeit one with stunning versatility.

How the Right Solution Can Help Tame the Government Agency Data Challenge

Jet Global

Technology changes are happening everywhere, and government agencies are no different. With the increase in technology purchases and interest in technology across all areas of government, you must be able to support your agency with ROI analysis and audit capabilities. Leveraging purpose-built ERP reporting and analytics technology to simplify reporting and acquisition of data is the only way finance can keep up with daily requirements. .

An Overview of Revenue Analytics for Event Industry

BizAcuity

Revenue Analytics is simple terms can be defined as a set of decisions support tools that help finance and contracting professionals in making informed decisions based on reliable insights. Revenue analytics helps managers in making better decisions as it results in working towards overall goals of increasing revenue by selling product or services at the right price. Revenue Analytics in Event Industry – An Overview. Without this information, revenue analytics are worthless.

Step-By-Step Guide To Deploying A Data Driven Strategy For Local Search

Smart Data Collective

The market for big data analytics in business services is expected to reach $274 billion by 2022. In fact, Ahrefs has an entire article detailing their plan to provide big data technology to SEO strategists. Google My Business using complex data analytics technology.