Cognos Analytics with Watson AI

Do you wish to have insights of your business data and obtain predictions on future performance based on your data? The new Cognos Watson powered BI solution can help you do it.

It can help connecting to data sources, clean the data and provide some stunning Visualizations.

The new Cognos is AI driven that will give information based on algorithms. It will also help you to build data model and prediction-based modelling design. Collaboration platform gives an edge to the team members and users to communicate in an efficient way. Through content sharing option teams can easily share their work, and they will be able to communicate in an efficient way.

With new Cognos Watson BI solution, you can achieve interactive dashboards and enterprise reports that will allow the companies to make informed decisions on strategic issues.

Cognos Key Features:

1. Data Modelling – Cognos has built in data connectors to drive and connect with your data effortlessly. You can accelerate data prep with AI.
2. Data preparation – Cognos AI engine gives a flexibility to clean and prepare your data from multiple sources. Cognos Analytics, makes easy the discovering of related tables by highlighting the most important fields for you and then automatically create a relationship between tables.
3. Watson AI – New Cognos framework is AI enabled it detects the patterns correlation from the complex data. Watson AI offers a uniform experience to the users where they can perform various activity suggested by AI.
4. Visualizations & Reporting – You can create ad hoc reporting and dynamic dashboard easily. It has multiple features within the Cognos environment where user can share their work via email or slack. Reporting gives the edge to drill down the information which helps the user with decision making.

Team Capabilities:

The India offshore GDC Team members who have been using Microsoft Power BI, Tableau, MicroStrategy, Domo got themselves skilled up in Cognos and have successfully started delivering reports and dashboards for one of the major Insurance clients.

Our core competency is in building Interactive reports & dashboard creation with clean data insights through charts. We are evolving with the way BI is transforming and Collaboration and sharing ideas have been the key success factors for our team.

We setup an agile process so that team can easily communicate, have a healthy onshore and offshore collaboration, be transparent with our queries and effort, get feedbacks, reviews and show the progress every week, which has positively reflected on the product.

Conclusion:

Cognos AI tool can help organization for better decision making due to its multitasking ability, content sharing, ability to create complex multi-page layout and multiple exports formats. It can give you high performance data access. Cognos AI can help you to build data design. Cognos comes with various packages where you can embed HTML pages, layouts and contents. Cognos Bi integrates Data Modelling, Data Preparation, Content sharing and Visualizations/ Reporting in one Web-Based solution.
If you are looking for building a Cognos based solution, we are happy to help you out.

The post-COVID world will undergo a massive digital disruption that will impact business processes. With so many people working from home, digitizing assets, moving to the cloud, and digital transformation (connecting people where they are using various channels) are becoming key priorities to companies entering a disruptive 2021. It is interesting to know that McKinsey states that there will be a new operating model where Business and IT will massively collaborate and become one and the same.

While going agile, becoming an API driven organization, and delivering data products have become the new normal for organizations changing their mindset and culture, they still struggle to understand “data-driven” decision making through advanced analytics techniques such as machine learning and centralized data platforms. Companies’ digital strategies must take a data-driven approach to provide meaningful insights at the right time to the right person in the right platform. I am outlining 6 topics that will become a crucial part of analytic product teams in 2021. Over the coming blogs, I will break out each of these topics and explain them in detail.

Analytics Topics to Watch in 2021

1. Analytics of Things (AoT):
   In a survey conducted with 620 types of IoT platforms, AoT seemed to an essential character and value proposition, according to IoT analytics.com. The most common being a mobile phone, telematics, digital twins, power generator grids, health diagnostics devices, smart cars, among others. Each of these platforms generates so much data. Without AoT, this data is just a piece of “Dark Data” waiting to act upon.
2. Virtual Analytic platforms (Single Pane of Glass):
   Every customer I talk to have at least 3 different analytic tools (Tableau, Cognos, Qlik, MicroStrategy, Power BI, Looker…) and rightfully so. Analytical tools are now readily available as SaaS services in app stores and can be spun up in minutes by a non-technical user. However, what this means is the ability for multiple versions of the same dashboard in multiple technologies creating confusion and lack of trust for CXO’s on their organizational analytics. The answer can be IT overruling and coming up with a single BI product or to have a single entry point such as Theia, which will improve the data literacy of the organization with a single pane of glass. Also, these virtual layers can provide a catalog of dashboards and reports regardless of the underlying producer of analytic dashboards with appropriate governance.
3. Self-service and Data Prep:
   One of the most significant pain points, as stated by Tableau, is the lack of a full picture of the data that users want to consider to provide meaningful Insights. To avoid wastage of time, analytic companies such as Tableau and Power BI released their own data preparation tools such as Dataprep and Dataflow correspondingly. These tools allow the analytic user to consider doing simple data preparation activities, including standardization, data cleansing, and pattern recognition by connecting the user with hundreds of data sources. However, be wary of using the data preparation tools to any form of unstructured data as they are not mature enough in that space.
4. Process Intelligence:
   While AoT is the capability where large volumes of datasets are analyzed to be useful, there is no purpose for this analytics unless there is an action tied to the analytics. Take a simple example of a smart thermostat, such as Nest. Nest regularly mines the data for temperature changes, people in the room, and appropriately control the room temperature with maximum efficiency. Also, using a mobile phone app, a person can track the decision-making process and the parameters for those decisions. This level of process intelligence can be automated (Alteryx coined the term “Analytic Process Automation”), which will simplify the decision-making process.
5. Business-critical Analytic Technologies:
   When a marketing team is building a CRM system to track their closed-loop marketing spend, they would want to have analytics over their marketing process, including segmentation, Clickstream analytics, and customer intelligence. These simple yet powerful analytics does not require enterprise data warehouses and complicated data models. They need the ability to hook up data in motion and create ad hoc analytic models and dashboards by non-technical users. Besides, intentionally, these analytic technologies deliver a limited set of visualization capabilities as relevant to the analyst users. Examples would be Analytic dashboards from Tealium CDP, Dynamics CRM, and Salesforce.com.
6. Cognitive Computing:
   Named from “Cognitive Sciences”, this is the field of analytics that applies human-like intelligence for specific tasks relevant to vision, speech, and text (commonly called unstructured data). These are compelling technologies that can take inputs in the form of natural language or machine vision and provide outputs that are relevant to a “context.” Take Watson Analytics, for example, which combines AI and analytics and delivers predictive and prescriptive analytics for decision making. Cognitive Vision (CV) has become a typical implementation pattern used in driverless cars and large machines such as oil drills.

According to Ulster University research, 90 percent of the data floating around in the digital world today “has been created in the last two years.” This means organizations that invest in data products and think of creative ways of Infonomics using Analytics can “Uberize” industries and can disrupt traditional ways of doing business. Perficient has practice areas that can help get to it faster. Reach out to us.

By now, we all know that we’ll never be able to analyze the massive amount of data that continues to grow without proper tools. So we need analytics that go further than reporting what happened and help us understand why it happened. That’s why IBM has created analytics tools that instantly transform your data into relevant insights using augmented intelligence, machine learning, pattern detection, data science and more. As an award-winning IBM partner, we’re excited for the capabilities in the all-new IBM Cognos Analytics.

Cognos Analytics 11.1 Key Features

Cognos Analytics 11.1 is easy to use even for beginners, yet powerful enough for the most demanding data explorer, and can fit virtually any budget. Key Features include:

• Storytelling
• Smart exploration
• Automated visualizations
• Reusable content
• Advanced analytics

Watch the video below for more features and to hear from one of our IBM experts, Abhi Majumdar, about how he sees Cognos Analytics 11.1 helping to empower users to make smarter decisions and gain better insights.

Majumdar, Lead Consultant and Architect, is a part of the Data Solutions team with over fourteen years of technology and business consulting experience.  He enables various clients in their data and analytics endeavors and has in-depth expertise across the full IBM Analytics stack.

“I have seen a lot of solutions in the market. I haven’t seen something which is put together in one place like this.” – Abhi Majumdar, Lead Consultant, Architect – Data Solutions Group talking IBM Cognos 11.1

Cognos Dynamic Cubes is meant to provide high-performance interactive analysis of data. It is used when your data volume is over terabytes. They are used only for star or snowflake modeled data warehouses and provides in-memory relational OLAP functionality with aggregation.

When to Use Cognos Dynamic Cubes

Cognos Dynamic Cubes was developed to address the challenge of high-performance and low latency interactive analysis and reporting against terabytes of data. DMR (Dimensionally Modeled Relational) and OOR (OLAP Over Relational) are meant for low to medium volume of data. When used for data sources with high data volume, it results in poor performance. So when we require high performance and low latency, high volume data analysis and reporting, we have to use Cognos Dynamic Cubes.

Comparison of Dynamic Cubes to Other Cognos OLAP Technologies

Cognos provides various data solutions for different requirements of data. Each one is meant for handling various data problems.

Cognos TM1 is a MOLAP Technology that can handle medium data volumes. Aggregation takes place on the fly, which degrades the performance with very large volumes of data and users.

IBM Cognos PowerCubes is a MOLAP Technology that uses pre-aggregation of data. Cube does not have any active connection to the data source, so they are said to be static. It is used for interactive analysis of operational or transactional data. It causes data latency when movement of data happens.

DMR is an OOR Technology and it is used when we need a dimensional advantage in relational data. It can be used for the analysis of a low volume of data.

Dynamic Cubes are used for the analysis of large volumes of data. It supports in-memory caching through DQM. It can be used only for star or snowflake data sources. It minimize the data movement between relational sources and dynamic cube engines. All dimensions are preloaded here.

Requirements to use Dynamic Cubes :

• It requires sufficient server RAM.
• It requires 64 bit Report Server enabled.
• It is available in Cognos 10.2 or higher versions.
• It supports DB2, Netezza, Microsoft SQL Server, Oracle, Teradata databases.
• It requires IBM Cognos Cube Designer.

Steps for Implementing Dynamic Cubes:

1. Create the data source connection to import metadata from the relational database.
2. Find out measures, dimensions, keys, captions, levels, and the defining relationships between them, the creation of required calculated members, defining pre-defined aggregation.
3. Define security for dimensions, measures.
4. Publish Dynamic Cube into Cognos BI environment.
5. Leverage IBM Cognos Administration to assign Dynamic Cube to the Query Service.
6. Dynamic Cube needs to be started before it can be leveraged.
7. To quickly deploy dynamic cubes, we have options available in Cube Designer

Active reports are highly interactive and make business intelligence easier for the casual user. Any report generated within Cognos can be saved as an Active report and consumed remotely with no connection to the BI Server. The report is created in the MHT format and the report and its data are saved in a single easily distributed document. The recipient needs no access to the BI Server to consume the report, just a simple browser with MHTML support.

Sales Analysis using Active Report
The user requirement is to create an active report analyzing sales by country. A list report is used to show sales by country, with a Data toggle bar control to allow users to move between different country regions. Users will have the option to show or hide the country by respectively selecting or clearing a toggle bar.

Open a new active report and create queries for the Data toggle bar to display country and list report to display detail for sales information

Create a connection between the Data toggle bar and the list report with the filter option using country region and set the default sorting option based on the requirement. Run the report.

(i) Report output – when no country selection

(ii) Report output – when United States selection

(iii) Report output – when United Kingdom selection

Predictive analytics solutions have incorporated the fundamentals of location-based analytics for years, but these were typically cumbersome tools that were confined to small groups of specialists.  With the abundance of location data generated from smart phones and connected devices, the potential of geospatial data has expanded dramatically, especially in the retail industry.

At a basic level, geospatial data better enables retail organizations to focus marketing and promotions at target customers. It’s important to answer the following questions:

• Which customers meet our target profile?
• Which of our retail outlets are accessible for these customers?

Without knowing anything other than addresses, ages, and survey results, it’s often difficult to answer those questions. Target customer identification often requires many unknown attributes and data points. However, the cost of not knowing an accurate answer to these questions is an obvious waste of marketing and promotional dollars. Organizations like Google, Amazon, and Walmart have already realized the benefits of location-based data to achieve growth and digital transformation. However, most other organization aren’t sure how to best implement a geospatial solution, even when the need is identified.

Perficient partnered with Pitney Bowes to offer organizations a more accessible solution for geospatial data integration and analysis. Integrating Pitney Bowes’ datasets with business intelligence solutions like IBM Watson and Cognos, removes many barriers to implementation. With this integrated solution, organizations can better analyze target customers by target market characteristics and proximity to retail outlets. Interactive maps with linked reporting are provided to visualize retail proximity analysis.

If you’re interested in learning more about applications of geospatial data and how organizations are leveraging these datasets to deliver actionable insights, check out the following webinar on April 20: http://www.directionsmag.com/webinars/register/geospatial-analytics-goes-mainstream-discover-the-datasets-that-add-ac/492738

Perficient’s Mark McDaniel is presenting with Location Intelligence experts from Pitney Bowes.

Perficient is proud to once again sponsor the IBM Vision conference, the premier business analytics and performance management conference for finance, risk management and sales compensation professionals.  Visit us during the event from May 9-12 at booth #2 in the EXPO Hall, where you can learn how we’ve leveraged our expertise to deliver award-winning solutions for analytics-driven digital transformation.

Our expertise spans all performance and risk management software, including IBM Planning Analytics, Cognos TM1, Cognos Disclosure Management, and Incentive Compensation Management. We also have extensive experience with complementary advanced analytics and data management solutions, and are consistently recognized as one of the top IBM partners, most recently winning the prestigious Worldwide Analytics Partner of the Year and Big Data & Analytics Worldwide Business Partner Excellence Award.

We’re happy to share our experiences implementing these solutions. For example, you can hear how we helped a rehabilitation and long term care organization implement a flexible and scalable system that includes the following benefits:

• The solution increased accuracy with direct links to patient and financial systems, and billing accuracy has improved 26% by identifying under-documented patient stays in real-time.
• The organization can now target and support the referrers who are most likely to provide qualified patients.
• The company now enjoys automated, accurate, and timely financial reports across facilities and produces consolidated income statements, balances sheets, and cash flow statements into a single, comprehensive corporate view. The automated nature of these reports results in reduced error rates.
• The solution provides improved analysis of referral sources and performance transparency across facilities.

If you haven’t yet registered for the event, there’s still time – registration is open until the last day of the conference. We look forward to seeing you at the event!

Why Cognos Mashup Services?

There are several alternatives when it comes to accessing a cognos report from an external application, but when we just need to execute a cognos report and get the result quickly without bothering about advanced cognos features, then CMS is our best choice.

The objective of CMS is narrowly focussed on running the report and getting the output by passing the input parameters required by the report logics.

How to use CMS

REST interface could be used to extract specific part of a cognos report

A Typical CMS URL for a REST request would look like:

Application + report path + report name + CMS specific attributes + input parameters.

Example:

http://servername:port/cognos8/cgi-bin/cognos.cgi/rds/report _path/report_name?selection=SalesList&fmt=JSON?Date=’01-01-2016’&Product=Lantern

Where ‘selection’ refers to a specific cognos object to be extracted from the report, and ‘fmt’ is the attribute which defines response format, and remaining input parameters defined in the cognos report.

Let’s consider the below table as SalesList:

The CMS response in JSON would look this:

[{“Date”:”01-01-2016″,”Product”:”Lantern”,”Sales”:2500}]

Multi select request:

To perform multi select, we need to reiterate the input parameter with multiple values:

Example:

http://servername:port/cognos8/cgi-bin/cognos.cgi/rds/report _path/report_name?selection=SalesList&fmt=JSON?Date=’01-01-2016’&Product=Lantern&Product=Tents

Response:

[{“Date”:”01-01-2016″,”Product”:”Lantern”,”Sales”:2500},

{“Date”:”01-01-2016″,”Product”:”Tents”,”Sales”:6000}]

It’s been a busy year in the Enterprise Information Systems space. With over 75 posts this year, our in-house experts found themselves face to face with big changes and an abundance of great information to share. We sifted through that content and present to you the Top 10 EIS posts of 2015.

Ten |  Implementing Cognos ICM at Perficient

Internally, Perficient was dealing with a growing amount of revenue and payments and chose to use Cognos Incentive Compensation Management (ICM). This post explains why we chose it and how we went about implementation.

Nine | IT (Operational) Vs. BT (Business Technology) Investments

In 2015, business spending continued its shift toward a customer focus with operational spending in decline. This post talked about the importance of investing in the customer experience.

Eight | Will Spark Replace Hadoop?

There was much discussion over whether Apache Spark would replace Hadoop. This post discusses the question you should really be asking about data.

Seven | Thanks Godfrey Sullivan, First Ballot Hall of Famer

Splunk CEO Godfrey Sullivan announced that he would be handing over the CEO reins to Doug Merritt.

Six | NoSQL NoSecurity – Security issues with NoSQL Database

NoSQL database are highly scalable, provide great performance, and store and process large amounts of data at high speeds. This post discusses one big concern: security.

Five | Hadoop, Spark, Cassandra, Oh My!

This post investigated how an enterprise should proceed when Hadoop is no longer the only option.

Four | Oracle BI Cloud Service: How to migrate from Test to Production

When you find yourself with a fully functional system on the Test instance, you may want to migrate everything to production. This post shows you how to do that.

Three | The End of IT?

The stars seem to be aligning for the infrastructure as code paradigm to be widely adopted. If self-healing and elf-correcting systems are possible, does that mean the end of IT?

Two | How to Customize OBIEE 11g Error Messages

The default error messages are tailored for IT rather than business users. This post explains how to customize these for easier comprehension

One | Oracle BI Cloud Service (BICS): Data Sync for Automated Data Load

In April, Oracle released Data Sync, a utility that facilitates the process of loading data from various on-premise sources into BI Cloud Services. In this post, we shared the three main steps to follow when designing data loads in Data Sync.

Hopefully many of you have enjoyed my many Cognos TM1 blog posts. Now some of you may be new to TM1 or a novice or an expert at the product. Regardless of your skill level, training is always important to stay up to date with new product changes.

With that said, Perficient’s IBM Business Analytics group will be hosting comprehensive training sessions during the week of August 17th-20th in our Denver, Colorado office.  The following TM1 training course is an intermediate instructor-led course. This offering will teach modelers how to build a complete model in TM1 mainly using the Performance Modeler tool. Through a series of lectures and hands-on exercises, students will learn how to create and customize dimensions and cubes, import and link data, and build and maintain applications.

If you are interested in attending our TM1 training event in Denver, CO, please visit our Perficient Contact Page and in the comments section please add, “Cognos TM1 Training in Denver, CO on August 17-20 2015”, else you can DM me on Twitter at @XxCLEvansxX for further details.

IBM Cognos TM1 is well-known as an enterprise planning software platform that can transform your entire planning cycle, from target setting and budgeting to reporting, scorecarding, analysis and forecasting [1], and Perficient is well-known for delivering expertly designed TM1-based solutions. At Perficient, we are excited about solving our customers’ business needs. Every Cognos TM1 implementation begins with the question: what problem does our customer need our help to solve? Here at Perficient, we strive to make sure we truly understand customer needs and future needs to help them succeed within their business.

Now with any type of implementation there are many uncertainties for a customer and two of major uncertainties my clients have conveyed to me are the following:

• Does this solution really meet my current and future business needs
• Does my IT team understand the business requirements and can it be reflected in the solution

Now at Perficient we understand our customer’s concerns, and with that said, the Perficient’s Business Analytics team has put together unique approach to implementing IBM Cognos TM1.

Before I get into Perficient’s approach in implementing IBM Cognos TM1, I want first elaborate why customers have these two major uncertainties. Recently, I saw an image on Linkedin “Tire-Swing” and said to myself, “Somebody truly gets it!” This image alone hits the nail on the head and what the Perficient’s Business Analytics team did was to find a solution to address these concerns while implementing a IBM Cognos TM1 solution.

With any type implementation, especially with IBM Cognos TM1, there are many moving parts. The Perficient’s Business Analytics team has found a way to integrate the use of Atlassian JIRA with its IBM Cognos TM1 implementations. Now some of you may already know what Atlassian JIRA is, and you’re probably saying to yourself, “How can a issue tracker software help with my TM1 solution needs?” Well Atlassian JIRA software offers more than just an issue tracker solution and the Perficient’s Business Analytics team has utilized this tool to its full potential.

The Perficient’s Business Analytics team significantly reduces the risk of failure on IBM Cognos TM1 implementation projects and empowers the end client to “own” both the solution and the technology at the end of the very first project utilizing Atlassian JIRA. A major advantage in which we empower our customers is by offering them a dashboard to allow them to see the progress of the project and what major shower stoppers need to be addresses. Below is a sample Atlassian JIRA dashboard of a fictitious company, “Acme.”

Now before anything can be documented in Atlassian JIRA, the business requirements must have been collected by the business users. Once the business requirements have been collected by the business analyst these would than need to be created in JIRA. In addition, use cases would also need to be created in which should back tie to all the business requirements. Below is a sample “User Story Enhancement” or use case in which is created in Atlassian JIRA.

Once the use cases have been created, the next step would be for the TM1 solution architect to start putting together the IBM Cognos TM1 solution. Once the solution has been architected the TM1 solution architect and project manager would document all the components of the build or upgrade to the IBM Cognos TM1 solution within Atlassian JIRA. Now this is the most important piece because all development activities will not only be assigned to developers but also tie back to a use case. This ensures all requirements have been met and developed. Examples of a few Atlassian JIRA “Tasks” would be, “Create Cube, Create TI, Create Web Sheet or etc.”

In addition, to have creating the IBM Cognos TM1 Atlassian JIRA Tasks, users would be able to track the progress of the development and hours spent on a task. This allows the customers to know where things are at, at all times.

Besides from creating the requirements, use cases and development tasks in Atlassian JIRA users also have the ability to create dependencies in which can be assigned to other teams. In addition, future improvements can be created and assigned to the TM1 architect so that estimates can be given, as well as risks and issues.

These are the many benefits utilizing Atlassian JIRA with your next TM1 implementation and Perficient has mastered this approach. Our approach to use Atlassian JIRA with the IBM Cognos TM1 implementation or upgrade solution requires the development and business team to work side by side to achieve a successful project implementation. When clients are empowered to own the IBM Cognos TM1 solution, they also tend to achieve much greater returns on their investment. This is the primary value proposition for selecting Perficient for IBM Cognos TM1 implementation projects.

If you interested in learning more on how Perficient can help with your next IBM Cognos TM1 implementation or IBM Cognos TM1 upgrade utilizing Atlassian JIRA, please visit or Perficient Contact Page and let them know Chris Evans sent you, else you can ping me on Twitter at @XxCLEvansxX

[1] http://www-03.ibm.com/software/products/en/cognostm1

Pankaj Bose spoke at the IBM Digital Experience 2015 conference about how IBM Cognos, Digital Experience and SPSS can be integrated together for a great Business Intelligence Experience. Typical business challenges include:

• How to build, run and manage a mobile, cloud and social solution
• Complexity of great experiences
• Lack of centralized storage and poor, incompatible data formats
• Lack of forecasting impacts decision making and key investment strategies
• Managing unstructured social content
• Inability to provide personalized customer interactions

For the solution Pankaj talked about, IBM Digital Experience is the center of the approach providing the experience, social, mobile and multi-lingual capabilities, with IBM SPSS as the predictive analytics, BI is provided by Cognos, Data handling is from IBM DataStage and the operations are provided by IBM Pure and DB2 system. These products can share a common security framework and common data management services.

There are four integration patterns for the BI Experience:

• Portal Services:  Cognos and SPSS both provide portlets that can be installed on IBM Digital Experience.  These portlets provide a set of features define by each of those products.Cognos uses its Servlet Gateway. SPSS uses Collaboration and Deployment Services to deliver content tot he portal.  This is a preferred way to implement the BI Portal because it is all out of the box.
• Web Services:  Here you call services provide by Cognos and SPSS from custom-built portlets running on Digital Experience.  In this case, you can completely customize the solution rather than rely on the features provided by the out of the box portlets.  For example, if Cognos doesn’t deliver the exact type of chart you want to display, you can call a Cognos service to get the data you want and then create your own chart in the portlet.  This approach is trickier because you need to work with SOAP, take care of security through the service interface, etc.
• WSRP: This is Web Services for Remote Portlets, which allows one portal to display content running on a different portal. This approach can potentially help with performance where the Cognos server runs the Cognos portlets and then your BI experience displays that content via WSRP.  There are limits with this approach, but it can be helpful in certain situations.
• Web Application Bridge: Digital Experience includes the WAB portlet to display a website within the portal via an iFrame.  Both Cognos and SPSS have web interfaces so you can reuse this already built interface without making changes.  WAB supports reverse proxy and optimizes the rendering of the content on your BI experience.  When you have SSO implemented, this approach works really well.

All of these approaches can be used for Responsive Web Design techniques so you can easily create a mobile BI experience right off your portal.  IBM MobileFirst also can provide native apps for this environment.

In addition to provide nice charts and graphs, this same BI experience can be use to deliver reports via Digital Experience.

Here are a few potential uses cases:

1. 360 degree view of customers – this applies to many industries – for customer service organizations.  The BI experience can provide overview of a customer’s spend including details. Using predictive analytics, management can predict churn
2. Smarter Planet concepts to enable governments to efficiently gather information from various stakeholders and deliver concise information to constituents.  Governments can also use constituent data to predict what citizens are needing in terms of services.
3. Track how business partners, dealers, etc are doing.  Partner relationships often depend on a lot of data – opportunities, sales, discounts, fulfillment, etc.  The BI experience could provide a dashboard to help manage all this information.

Follow the link here to see how Perficient helps clients with BI, Big Data and Analytics.