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Spikes Cavell – Data Analysts #analytics, #data, #big #data, #spend #analysis, #procurement, #spend, #dashboards


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We harness data and analytics to build smart, data-driven applications that solve real business problems.

Our solutions help: drive revenue growth, reduce costs, improve efficiency, monitor and measure performance or manage risk.

Our solutions help: drive local job creation, deliver more with smaller budgets, measure policy impact or manage risk.

It s all about the data

WHAT WE DO

Examples of our work

Improving visibility to save a nation $1.8bn

Problem: Poor visibility over a European country’s £10bn + annual spend on goods services leading to higher costs and inefficiency in procurement.
Solution: Capture, aggregation, cleansing, classification and enrichment of spend data for over 100 separate entities. Development of an analytics platform deployed to more than 750 users and used to reduce the costs of purchased goods services at national, regional and local levels.

Predicting contract cancellation to reduce ‘churn’

Problem: 4G mobile internet provider in South East Asia suffering revenue loss due to inability to anticipate cancellation.
Solution: Analysis of subscriber records to identify patterns in advance of contract cancellation. Predictive model developed that provides marketing and customer teams with accurate indication of likelihood of cancellation to facilitate retention.

Leveraging data to indicate fraud and abuse

Problem: More effective use of data to reduce losses to fraud and financial abuse by UK Government in the giving of grants.
Solution: Review and analysis of Government data sources and development of 124 potential fraud and abuse indicators and a scoring system design to generate ranked and prioritised ‘watch lists’ to support prioritisation of investigative effort.

Standardizing across borders to drive out cost

Problem: Failure of incumbent to accurately classify a global media company’s $14bn of annual direct and indirect spend.
Solution: Capture, cleansing, classification and enrichment of spend data for 11 business units across multiple geographies. Deployment of an analytics platform to group sourcing used to reduce the costs of commonly purchased goods services.

Location: North America

Monitoring spend with minority owned businesses

Problem: Lack of metrics to monitor spend with minority owned business and track delivery of policy at a large US school district.
Solution: Transformation of spend data combined with aggregation of external minority business data to enable calculation of spend with minorities delivered as a report and updated quarterly to enable tracking of ‘direction of travel’.

Location: North America

Directing spending to create jobs and opportunity

Problem: Leverage a European country’s public spending on goods services to support the growth of the local economy.
Solution: Transformation of spend and aggregation of multiple data sources to facilitate identification and ranking of high potential categories. Delivered as an analytical application with tools to conduct outreach to encourage bid participation.

Benchmarking property assets to manage outliers

Problem: Comparative metrics to manage property costs by global property management company too time consuming to compile.
Solution: Aggregation of spend and property data to create benchmarks against which outlying properties and suppliers could be identified to target cost reduction efforts. Delivered as a dashboard that included metrics to support the sales effort.

Empowering a nation’s ‘armchair auditors’

Problem: Re-engage electorate and rebuild trust and confidence in politicians and the political system at a major US city.
Solution: Repurposing of transformed spend to render it ‘citizen friendly’. Delivered as and easy-to-use web application accessible directly from the City’s own website to allow citizens, journalists and arm-chair analysts direct access to the City’s spend data.

Location: North America

Benchmarking peers to identify better performance

Problem: Absence of comparative metrics for a group of US universities to support identification and prioritisation of opportunities to better manage spend.
Solution: Transformation and standardization of spend by category combined with student and faculty data to generate meaningful category specific benchmarks. Delivered as an intelligent dashboard to enable comparison with peer institutions.

Location: North America

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MSc in Business Analytics #masters #of #business #analytics


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A globally-recognized MBA for those looking to reshape their career & transform their approach to real-world challenges.

An internationally-ranked MBA for professionals that will update & enhance skill-sets and networks while accelerating career prospects.

Research Degrees (PhD and MPhil)

Our PhD programme is a key part of our research culture and has a global reputation for excellence and facilities that are second-to-none. We have a large number of PhD students and post-doctorate researchers from many countries, doing research of the highest international quality.

About Executive Development

In today s increasingly competitive environment, the secret to competitiveness and growth is an organisation s ability to learn and evolve. Executive Development at UCD Michael Smurfit Graduate Business School helps organisations and their leaders meet these objectives by developing business knowledge and management skills through world-class leadership development courses.

As part of an elite group worldwide with triple accreditation from EQUIS, AACSB and AMBA, we draw on our own faculty and from world renowned faculty from many of the top business schools around the globe.

MSc in Business Analytics

The University reserves the right to make changes to programme tuition fees and other charges each year (i.e. post the first year of entry to the course).
It may also make changes to programmes and their curriculum and structure, entry requirements and methods of delivery, and to discontinue, merge or combine programmes, both before and after a student’s admission to the University, if such action is reasonably considered necessary by the University.

If the University discontinues the programme prior to the student commencing the first term of study, the student may either:
1. withdraw from the University without any liability for fees, including the application fee, or
2. transfer to another programme offered by the University, subject to suitable qualifications and meeting entry requirements, availability of places and the Dean’s approval.

Programme tuition fees for the year of entry into a programme can be viewed at: http://www.ucd.ie/students/fees/index.html

When accepting an offer of a place on a programme with the University and School, students accept the University’s Terms and Conditions of Admission. They can also be viewed at: http://www.ucd.ie/registry/admissions/terms.html

Student profile

This programme is suitable for graduates from technical disciplines such as, engineering, computer science and mathematics with a talent for and interest in finding mathematical or computer solutions to business problems. It is also suitable for business graduates who have studied Management Information Systems (MIS) subjects. The student profile also includes people with practical experience, who often use the programme to redirect their career.

The mix of full and part-time students from different backgrounds, working together on projects, makes the interaction between students an important and worthwhile part of the learning experience.

Available in one-year full-time and two-year part-time formats. For part-time students entering in September 2017, it requires class attendance during the working day (this is a change from previous years) so employer support is essential to undertake the part-time option.

Overview:


Business Analytics Platforms & Solutions for BI, SAP, cloud analytics.#Cloud # #analytics


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Business Analytics

SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

  • Business intelligence platform
  • Data visualization and analysis
  • Dashboards
  • Mobile analytics
  • Reporting
  • Predictive data modeling
  • Predictive data management
  • Model management
  • Scoring
  • Predictive network and link analysis
  • Strategy management
  • Planning, budgeting, and forecasting
  • Profitability and cost management
  • Financial consolidation
  • Enterprise reporting and disclosure

Realize the power of cloud analytics

analysis and decision making.В

Solve your specific analytics needs

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Analytics that keep users – and IT – happy

Get the facts

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SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

See how customers are succeeding with SAP

Live Oak: Making smart decisions in real time

mBank: Improving campaign effectiveness by 200%

Lexmark: Running 50% faster consolidation cycles

Choose the market-leading analytics software

Can your analytics tools deliver 171% ROI?

Get fresh perspectives from experts

SAP Analytics Portfolio – Modern Analytics for the Digital Enterprise white paper

Democratizing Decision Making with Analytics

How important is analytics in helping organizations understand, visualize, and assess all the complex data coming out of their business processes, broader organization, and customers? Listen to Ray Wang from Constellation as he makes sense of all the data that organizations are now trying to work with.

The Value of Data and Analytics in Digital Transformation

Digital transformation has become a broad-level initiative at many companies. A key part of this investment is being focused on data and analytics. SAP recently posed several questions to Dan Vesset, group vice president of IDC’s Analytics and Information Management research, on behalf of SAP’s customers.


Oxxford UCIS, LLC #what #is #customer #analytics


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Oxxford-UCIS

Oxxford personnel offer the information industry the most comprehensive technical support available.

Over 90 years of combined experience in advanced mathematical model development and computer analytic software allow Oxxford client s unparalleled confidence in the systems and intelligence files created by Oxxford and used by the client every day.

RISK ANALYSIS

Risk analysis, from the ground up! Oxxford can identify and segment over 22 million businesses and over 200 million residential locations with both financial and environmental risk indicators.

WHY OXXFORD UCIS

Only people grow business. Only excellence keeps it. Gaining a client s confidence over the long term is the result of performance, of service, and of offering a superior product. ultimately of working together. Everyone at Oxxford takes these beliefs seriously and our mission statement is in our everyday performance: To deliver consistently high quality in all the services we provide in an innovative and functional manner. To develop and maintain positive, long term relationships with our clients. –To render the highest standards in professionalism and integrity in our industry.

Recent News

April 2013 Update

Thursday, July 7, 2016

Oxxford UCIS and Dun and Bradstreet now offer select financial, insurance, and energy information through D Bs Data Exchange program. Contact your D B rep for further detailed information that will give your business one more advantage over competitors and enhance your cross-selling capabilities.

Residential and Commercial energy consumption

Friday, July 1, 2016

Oxxford has upgraded their entire commercial and residential files with more specific energy consumption actionable data – at the site or for the entire commercial relationship. Service provider geography; energy usage factors; green scores and more are available for the entire U.S. Oxxford recently attained the deans list for vendors providing services to DTE Energy – providing secondary demographic, segmentation, and other services to DTE s customer relationship and analysis groups.

Why rely on only one credit Score when looking at a critical Business relationship?

Shed light on your investment by accessing 3 scores from the top credit analytics companies joined together in one report!


What is Marketing Analytics #marketing #analytics #tools


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Marketing Analytics

Marketing analytics comprises the processes and technologies that enable marketers to evaluate the success of their marketing initiatives by measuring performance (e.g. blogging versus social media versus channel communications) using important business metrics, such as ROI, marketing attribution and overall marketing effectiveness. In other words, it tells you how your marketing programs are really performing.

Marketing analytics gathers data from across all marketing channels and consolidates it into a common marketing view. From this common view, you can extract analytical results that can provide invaluable assistance in driving your marketing efforts forward.

Why marketing analytics is important

Over the years, as businesses expanded into new marketing categories, new technologies were adopted to support them. Because each new technology was typically deployed in isolation, the result was a hodgepodge of disconnected data environments.

Consequently, marketers often make decisions based on data from individual channels (website metrics, for example), not taking into account the entire marketing picture. Social media data alone is not enough. Web analytics data alone is not enough. And tools that look at just a snapshot in time for a single channel are woefully inadequate. Marketing analytics, by contrast, considers all marketing efforts across all channels over a span of time – which is essential for sound decision making and effective, efficient program execution.

What you can do with marketing analytics

With marketing analytics, you can answer questions like these:

  • How are our marketing initiatives performing today? How about in the long run? What can we do to improve them?
  • How do our marketing activities compare with our competitors’? Where are they spending their time and money? Are they using channels that we aren’t using?
  • What should we do next? Are our marketing resources properly allocated? Are we devoting time and money to the right channels? How should we prioritize our investments for next year?

Marketing Insights

Explore insights from marketing movers and shakers on a variety of timely topics.

To reap the greatest rewards from marketing analytics, follow these three steps:

  1. Use a balanced assortment of analytic techniques.
  2. Assess your analytic capabilities, and fill in the gaps.
  3. Act on what you learn.

Use a balanced assortment of analytic techniques

To get the most benefit from marketing analytics, you need an analytic assortment that is balanced – that is, one that combines techniques for:

  • Reporting on the past. By using marketing analytics to report on the past, you can answer such questions as: Which campaign elements generated the most revenue last quarter? How did email campaign A perform against direct mail campaign B? How many leads did we generate from blog post C versus social media campaign D?
  • Analyzing the present. Marketing analytics enables you to determine how your marketing initiatives are performing right now by answering questions like: How are our customers engaging with us? Which channels do our most profitable customers prefer? Who is talking about our brand on social media sites, and what are they saying?
  • Predicting and/or influencing the future. Marketing analytics can also deliver data-driven predictions that you can use to influence the future by answering such questions as: How can we turn short-term wins into loyalty and ongoing engagement? How will adding 10 more sales people in under-performing regions affect revenue? Which cities should we target next using our current portfolio?

Assess your analytic capabilities, and fill in the gaps

Marketing organizations have access to a lot of different analytic capabilities in support of various marketing goals, but if you’re like most, you probably don’t have all your bases covered. Assessing your current analytic capabilities is a good next step. After all, it’s important to know where you stand along the analytic spectrum, so you can identify where the gaps are and start developing a strategy for filling them in.

For example, a marketing organization may already be collecting data from online and POS transactions, but what about all the unstructured information from social media sources or call-center logs? Such sources are a gold mine of information, and the technology for converting unstructured data into actual insights that marketers can use exists today. As such, a marketing organization may choose to plan and budget for adding analytic capabilities that can fill that particular gap. Of course, if you’re not quite sure where to start, well, that’s easy. Start where your needs are greatest, and fill in the gaps over time as new needs arise.

Act on what you learn

There is absolutely no real value in all the information marketing analytics can give you – unless you act on it. In a constant process of testing and learning, marketing analytics enables you to improve your overall marketing program performance by, for example:

  • Identifying channel deficiencies.
  • Adjusting strategies and tactics as needed.
  • Optimizing processes.

Without the ability to test and evaluate the success of your marketing programs, you would have no idea what was working and what wasn’t, when or if things needed to change, or how. By the same token, if you use marketing analytics to evaluate success, but you do nothing with that insight, then what is the point?

Applied holistically, marketing analytics allows for better, more successful marketing by enabling you to close the loop as it relates to your marketing efforts and investments. For example, marketing analytics can lead to better lead nurturing and management, which leads to more revenue and greater profitability. By more effectively managing leads and being able to tie those leads to sales – which is known as closed-loop marketing analytics – you can see which specific marketing initiatives are contributing to your bottom line.


ShinyStat – Free Counter with Web Statistics, Free Web counter, Free Website Counter #counter,counters,free #counter,free #counters,free #web #counter,free #hit #counter,free #hit #counters,hit #counter,hit #counters,web #counter, #web #counters,web #stats, #web #statistics,website #counter,free #website #counter, #website #statistics,website #analytics,web #analytics, #tracker.


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Mobile applications are a new important communication channel and marketing tool. This must be analyzed to get the best performance and to understand if your investment in App development is positive or not.
ShinyStat™ App Analytics lets one understand data about how much App are used online and even offline. It offers standard libraries as well as centralized dashboard, in real time and customizable depending on needs.

ShinyStat™ Video Analytics allows you to measure informations linked to the videos fruition and multimedia content published on you own web site or embedded on others ones thanks to the specific metric and tools for “viral marketing video success” such as users distribution, 2.0 actions and Video Geo audience.
Moreover, with the innovative “Viewing Spectrum” you can focus on weaknesses and strengths of your video published.

Netsurfing coming from mobile devices is growing and growing. This phenomena involves a massive diffusion of m.sites. ShinyStat™ Mobile Analytics is the platform that let you to analyze fruition, progresses and features of mobile channels.
Moreover, through our mobile tools, you can isolate the mobile data in order to get data in real time. Among the metrics and infos: device brands, models, connectivity type, operators.

It’s fundamental to analyze how your web site runs to get a successful business. Understanding into details how the user behaves is very important in order to give a right service and product which fits with user’s needs.
ShinyStat™ Web Analytics allows to get these informations in real time, to create automatic channels, to analyze detailed conversions and marketing campaign progress (CPC, display, video, mobile).


10 Most Popular Analytics Tools in Business #marketing #analytics #tools


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Update 2017: This article on most popular analytics tools was originally written more than 5 years ago. It has been updated a couple of times since then. However, the industry has changed rapidly in this time and the article continues to generate a lot of interest.

I felt it was time now to do a complete revamp and share the latest and most updated list of analytics tools with the readers.You can read the original article here .

The analytics industry has seen a paradigm shift in how and which analytics tools are used. We have seen the demise of the SAS monopoly, which had for long been the case, giving way to increased adoption of open source tools.

I have worked on SAS for many years and it is a fantastic tool. However, the high pricing of the software was always a deterrent. Most small and medium companies could not afford the tool, and neither did it make sense for them to invest in it as their analysis needs were different. The companies that have and could use it, often ended up paying more for the tool than the analyst who worked on the tool and this was not an optimal scenario.

If we needed analytics to work for us the way we wanted it to, there was a terrible need for industry-wide adoption of cheaper tools, and better if they were free.

In line with the growing importance of open source tools in the field of analytics, I have decided to switch the order of listing the top tools. I will start with the most popular open source tools this time and then move on to the commercial or paid tools.

Open Source Analytics Tools

Here are the 5 most popular open source analytics tools:

R – R is now the most popular analytics tool in the industry. It has surpassed SAS in usage and is now the tool of choice even for companies that can easily afford SAS. Over the years, R has become a lot more robust. It handles large data sets much better than it used to, say even a decade earlier. It has also become a lot more versatile.

1800 new packages were introduced in R between April 2015 and April 2016. The total number of R packages is now over 8000. There are some concerns about the sheer number of packages but this has certainly added a lot to R’s capabilities. R also integrates very well with many Big Data platforms which has contributed to its success.

Python – Python has been a favorite of programmers for long. This is mainly because it’s an easy to learn language that is also quite fast. However, it developed into a powerful analytics tool with the development of analytical and statistical libraries like numpy, scipy etc. Today it offers a comprehensive coverage of statistical and mathematical functions.

Increasingly, we are seeing programmers and other tech folks moving into analytics. Most of these guys are already familiar with Python and therefore it has become a tool of choice for many data scientists.

Apache Spark – Spark is another open source processing engine that is built with a focus on analytics, especially on unstructured data or huge volumes of data. Spark has become tremendously popular in the last couple of years. This is because of various reasons – easy integration with the Hadoop ecosystem being one of them. Spark has its own machine learning library which makes it ideal for analytics as well.

Apache Storm – Storm is the Big Data tool of choice for moving data or when the data comes in as a continuous stream. Spark works on static data. Storm is ideal for real time analytics or stream processing.

PIG and HIVE – Pig and Hive are integral tools in the Hadoop ecosystem that reduce the complexity of writing MapReduce queries. Both these languages are like SQL (Hive more so than Pig). Most companies that work with Big Data and leverage the Hadoop platform use Pig and/or Hive.

Commercial Analytics Tools

Now, let’s take a look at the 5 most popular paid analytics tools:

SAS – SAS continues to be widely used in the industry. Some flexibility on pricing from the SAS Institute has helped its cause. SAS continues to be a robust, versatile and easy to learn tool. SAS has added tons of new modules. Some of the specialized modules that have been added in the recent past are SAS analytics for IOT, SAS Anti-money Laundering, and SAS Analytics Pro for Midsize Business.

Tableau – Tableau is an easy to learn tool that does an effective job of slicing and dicing your data and creating great visualizations and dashboards. Tableau can create better visualizations than Excel and can most definitely handle much more data than Excel can. If you want interactivity in your plots, then Tableau is surely the way to go.

Excel – Excel is of course the most widely used analytics tool in the world. I have seldom come across a data scientist who does not use Excel. Whether you are an expert in R or Tableau, you will still use Excel for the grunt work. Non-analytics professionals will usually not have access to tools like SAS or R on their machines. But everyone has Excel. Excel becomes vital when the analytics team interfaces with the business steam.

QlikView – Qlikview and Tableau are essentially vying for the top spot amongst the data visualization giants. Qlikview is supposed to be slightly faster than Tableau and gives experienced users a bit more flexibility. Tableau has a more intuitive GUI and is easier to learn.

Splunk – Splunk is more popular than some of the more known names like Cloudera and Hortonworks. It started as a ‘Google for log files’ which means its primary use was to process machine log files data. It has now become much more than that. Splunk has great visualization options and a web interface makes it easy to use.

Top Companies Using the Most Popular Analytics Tools

This is the new and updated list of the most popular tools in the analytics industry. If you are interested in learning these tools, here is what you need to do.

To learn SAS, R, and Python, head to our Data Scientist Specialization . Spark, Storm, and other Big Data technologies are covered in the Big Data Analyst Specialization . We have a course on Analytics with Excel as well that will help you take your step into analytics.


Big Data Analytics Training in Hyderabad #big #data #analytics #training #in #hyderabad, #big #data #analytics #courses #in #hyderabad, #big #data #training #in #hyderabad,big #data #analytics #training #institute #in #hyderabad,best #big #data #analytics #training #in #hyderabad


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Big Data Analytics Training in Hyderabad

Imagine Your Business with Advanced Big Data Analytics

Big Data Analytics is incredibly becoming new raw materials of business enhancement and has come up with the main goal to turn data into information and information into insights. This is the right time to build a career in right technology for your data center where it takes from data overload to data insights to have everlasting and booming career in IT world. Simply sign-up with Best Big Data Analytics Training Institute in Hyderabad to master In-Depth subject knowledge skill set to act as Industry-Ready aspirants.

Analytics Path is the best Powerhouse for Big Data Analytics Training in Hyderabad which is located in Hi-Tech City Madhapur, Hyderabad that helps to achieve the dream goals of aspirants.

Why Big Data Analytics Training in Hyderabad is Best Career Move?

The rise of analytics is incredible wherever you go, you can hear the word of Analytics which is the most buzz word these days. You can easily change the way of Business enhancement by Big Data Analytics Training in Hyderabad where it has brought great impact over the Internet to transform every aspect of life. The power of analytics is high and it is impossible to go back.

Big Data Analytics Training in Hyderabad will make aspirants to acquire tremendous knowledge to change the multi-million dollars of the company. Aspirants will acquire fully fledged knowledge in the various applications of a sequence of algorithms to generate insights from processed datasets. Annual hike for Analytics Professionals is very high and is the competitive resource for many of the companies to make an effective better decision.

Intended Audience

BI, ETL, Data Warehousing and Data Base Professionals, Software Developers and Architects, Graduates interested in making a career in Big Data, Hadoop Professionals can prefer Big Data Analytics Course in Hyderabad.

Big Data Analytics Training and Certification Program Take Away

Upon completion of High Interactive Training classes, aspirants can acquire huge subject knowledge skills

  • Data can be fetched from multiple users and structured
  • Grasps skills in various types of Machine Learning, Distance Metrics, and Gradient Descent
  • Enhances knowledge in Support Vector Machine, KNN, CART, Neural Network and Regression
  • Enriches knowledge in Clustering, Segmentation, PCA and Association Rule Mining
  • Big Data Technologies like Hadoop, MapReduce, Pig, Hive,Mongo DB, Cassandra, AWS, Spark and many other
  • Skills in managing of Data Project with regards to time, cost, effort, valuation and risk analysis of data project

Future Prospects after Analytics Path Big Data Analytics Course in Hyderabad

In Big Data Analytics Training in Hyderabad, aspirants will acquire skills from basic level to advanced analytics knowledge with various practical methodologies and real-time scenarios. Individuals will acquire knowledge in both executive management and decision making with hands-on training experience in a reliable and effective way. Industry expertise makes easy to understand in every module by using various machine learning tools and techniques.

Big Data Analytics Course in Hyderabad leverages skills in every module that includes Pharma, Telecom, Manufacturing, Retail, Health Care and Public Sector Administration to face Industry world challenges in an effective way.

The State and Rise of Analytics Today

Certified Big Data Analytics Professionals can easily grasp wonderful job opportunity in the top notch companies.

McKinsey Global Institutes of Big Data Analytics – The next frontier for innovation, competition, and productivity estimates that by 2018, “the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know- how to use the analysis of big data to make effective decisions”

There is a prediction that there are 2.5 lakh jobs in the coming year in India. The pays scale for the Big Data Analytics Professionals has gone up in an incredible way.

If you wanted to have exciting career future, just join Analytics Path- The Best Big Data Analytics Training Institute in Hyderabad.

Contact Us


Penn State Online #business #analytics #in #data #analytics #master #of #professional #studies, #penn #state #online #master #s #degree #programs, #penn #state #world #campus


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Master of Professional Studies in Data Analytics – Business Analytics Option

Online Business Analytics Degree

Learn how to make informed, data-driven business decisions with Penn State’s 30-credit online Master of Professional Studies in Data Analytics with an option in Business Analytics. As a student in this data analytics degree program, you can acquire the business intelligence training needed to work in positions such as business analyst, analytic system designer, or data scientist. Learn how to apply big data analytics, data mining techniques, and predictive analytics to meet your organization’s business objectives and leverage competitive advantage.

The Penn State Difference

Delivered in a strong partnership between four colleges and four academic departments from across the University, the business analytics degree program offers you the opportunity to benefit from the expertise and unique perspectives of faculty with diverse backgrounds. With their broad spectrum of experiences, our faculty can teach you to collect, classify, analyze, and model data at large and ultra-large scales and across domains using statistics, computer science, machine learning, and software engineering.

Business Analytics Curriculum: More than Predictive Analytics

The focus of the business analytics degree curriculum is to explore and analyze big data to support data-driven business decisions through the complete spectrum of analytics activities: descriptive (what happened), diagnostic (why it happened), predictive (what will happen), and prescriptive (what should happen). In addition to learning how to use optimization and forecasting techniques, you can take data management courses, and learn about data mining for business intelligence. You can gain a practical skill set to perform tasks in various areas of business, such as marketing, supply chains, operations, forensics, and risk.

You can also choose the data analytics base program that focuses on database design and big data storage technologies.

Start with a Business Analytics Certificate and Step Up to the Master’s Degree

The Graduate Certificate in Business Analytics consists of three courses from the MPS in Data Analytics – Business Analytics option. You can begin by pursuing the certificate, and then choose to continue and apply to the master’s degree program. If you apply and are accepted to the master’s degree program, you can apply the 9 credits from the certificate toward the degree.

Related Programs


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Database Consulting

Comprehensive Database Consulting Services

Do you want your organization to be as efficient and effective as possible? Of course you do! You can help your organization reach new levels in performance with dbaDIRECT’s database consulting services. Our services will show you how to foster a more effective, more reliable database environment, which will lead to a stronger, more successful organization or enterprise overall.With the help of a proven database consultancy like dbaDIRECT, you can properly manage and utilize your data to provide you with the type of business intelligence the world’s most successful corporations leverage to guide their own operations. And we would know, since we’ve worked with them ourselves.

dbaDIRECT’s database consulting services you can take advantage of are:

  • Database Installations —we’ll help you plan and implement a SQL Server, MySQL, Oracle, DB2, or Sybase database installation, optimally configured for your organization’s unique needs
  • Database Upgrades — learn how our Process Advantage makes updating your SQL Server, MySQL, Oracle, DB2, or Sybase databases a safe and effective procedure
  • Oracle Upgrades — learn how we can make your transition to Oracle 11g an efficient process with minimal disruption
  • Database Patching— we utilize documented processes to ensure that all tasks are executed in an orderly and predictable manner
  • Data Analytics— our data analytics services will help you leverage business intelligence for a smarter, more effective organization
  • Data Auditing— we’ll help you audit the actions of your database users to identify security and other critical issues
  • Performance Analysis — learn how our directCHECK Performance Analysis process helps you evaluate the health of your database
  • Database Optimization — learn how we’ll use targeted recommendations from directCHECK to fix, enhance, and improve the performance of your database

Database Consulting:

Through Oracle database consulting. SQL Server consulting. or any of our other numerous database services, our database consultancy can help you execute any and all of your data tasks on time and on budget. The last thing you will want to do is let underutilized data, outdated data platforms, inefficient data systems, or any other database-related pitfalls hinder your performance now or in the future.

Some of the ways in which our database consulting services can assist you include:

  • Helping you avoid potential downtime and loss of business by having us execute a complex or critical database task that requires the unique skills of a specialist
  • Promptly responding to emergency situations with as many database administrators (DBAs) and specialists as required to troubleshoot and fix the problem
  • Taking on time- or labor-intensive database tasks for you when your in-house staffing resources are already stretched thin
  • Helping you rapidly deploy a data project to meet a fast-approaching deadline
  • Quickly ramping up the number of DBAs working for you for large-scale projects
  • Upgrading or enhancing your data environment to leverage business intelligence for quicker, smarter, and better decision making throughout the organization or enterprise

Schedule a Database Consultation Today

Data is one of the most valuable resources your organization owns. How would you like to manage your data better, do more with it, and be more successful from it? dbaDIRECT will help you get there. All you have to do is contact us and we’ll show you how our database consulting services can help you extract maximum value from your data. Call us at 877-687-3227, option 3, to schedule a database consultation today, or schedule a meeting online. and take the next step in enhancing your organization.