The latest release of Informatica MDM 10.3 has opened a great opportunity for business users to experience the data withRead more…
The latest release of Informatica MDM 10.3 has opened a great opportunity for business users to experience the data with best possible interactions. User Experience (UX) is at its best in this version, with modern UI, enhanced security, improved search capabilities and much more.
You can start off with the excellent demo provided by the product team in the recently concluded webinar. The webinar was hosted by Oliver Soans. Webinar also answered some of the key questions from the participants mainly on the task management aspects.
Oliver Soans show-cased the Entity 360 application including elastic search. Elastic search is a key make-over for smart search functionality in the product. You now have an option to host the elastic search server outside of MDM, thereby, you can scale the search engine to provide the throughput and performance you would need according to the business needs. Elastic search also opens-up the support for full HA (High Availability) along with improved & scalable performance. But come what may, if you are a fan of SOLR, the choice is still open wherein the existing SOLR search engine can remain as is.
You can now attach the documents as part of the workflow and as part of the task comments. This would provide better options for the data stewards to manage the data state with right documents, especially in the era of consumer awareness.
Another major attraction on the webinar is the cool functionality of the match and merge screen. Voila, you can now view the matching records in a side-by-side view including child entities, with option to override the data on-the-fly. And not just that, you can also pre-configure the match view such that the business can decide the specific layout of the match and merge view. Not just match and merge view, the provisioning tool provides much more options to configure the entire UI with just drag and drop. This is one of the best tool you would find in the market that provides such UX friendly capabilities.
The last feature that was showcased, was the most important functionality that would get welcomed by your security audit team. It was the enhanced security where-in Entity 360 is provisioned with row-level security. That is, you can control who sees your data and what they see, at the record level. Security Access Manager (SAM) from core MDM platform is also tightly integrated to the business entity layer so that you can directly manage the security at the business entity level. These features would provide the state of the art options to keep your MDM data secure, especially with GDPR, California Consumer Privacy Act and other regulations that are constantly requiring such security options.
Again, experience data with the great product of Informatica MDM, on its best release 10.3. First step to experience is to start with this webinar recording.
The post Informatica MDM 10.3 – Experience the data appeared first on The Informatica Blog – Perspectives for the Data Ready Enterprise.
Source: Informatica Perspectives
For the first time, US holiday retail sales are projected to top the $1 trillion mark. According to eMarketer, 2018Read more…
For the first time, US holiday retail sales are projected to top the $1 trillion mark. According to eMarketer, 2018 brick-and-mortar sales are set to jump 4.4% to $878.38 billion, representing 87.7% of total holiday sales. E-commerce sales will increase 16.6% to $123.73 billion (12.3% of holiday sales), with mobile commerce accounting for almost half of this. Mobile commerce is expected to jump 32.6%, representing 44% of all holiday ecommerce spending and 5.4% of total holiday sales.
Now that evenings are getting longer and there’s a noticeable chill in the air, if you’re like me, you’re spendingRead more…
Now that evenings are getting longer and there’s a noticeable chill in the air, if you’re like me, you’re spending more time at home in front of the TV cheering for your favorite sports teams. And of course, being a data analytics fan, I’m fascinated with how the sports industry is using data for strategic advantage.
From players wearing connected devices generating data to optimize training regimes in real time, to players using sports equipment with sensors attached to measure swing and range, and soccer clubs using data fueled by AI and machine learning to unearth the next star player, the sports industry is now as much about skill on the field as skill in the discovery and acting upon insights.
But unlike some businesses that have the freedom and time to test and learn using the fail-fast, fail-often and improve philosophy, sports teams don’t have that luxury. You’ve got to get analytics right, especially when you only have one or very few chances to make an intelligent decision. Team managers need to trust the data that they’re dealing with.
Last time, I discussed the issue of data swamps—data lakes that have become dumping grounds for all sorts of data with varying quality. We’ve all heard about the problem of garbage in and garbage out. Like sports teams, you don’t want to make decisions on bad data. And just as an athlete, you want to be able to make intelligent decisions—quickly—for transformative results.
In my past two blog posts, I’ve discussed the advent of data marketplaces—a storefront for trusted high-quality data that curates structured, unstructured, and semi-structure big data for fast analysis. It’s a data lake of pure, fresh water (read: data), rather than a swamp. With data marketplaces, business users have the power to find, access, and prepare enterprise data on their terms, without having to wait for IT.
7 steps to trusted data for analytics
Customers often ask me what the steps are to fuel a data lake with trusted, accessible, and relevant data. All in all, there are a total of 10 steps, but for this post, I’m going to briefly discuss the first seven. You can start small and take each step at a time, but I recommend taking all the steps in sequence.
- Ingest – Data is coming into your business from various places and at varying speeds, so your data management infrastructure should be able to support multi-latency ingestion.
- Stream – The ability to act on insights from streaming data is fast becoming an important competitive advantage. Be sure to take measures to support real-time data that is entering your business.
- Integrate – With data coming through at various speeds and from various places, you need to be able to integrate all types of any volume—at scale.
- Enrich – This is when you infuse your data with expert third-party data, such as business data, so that your analysts can act on rich and updated data. This is when you clean the data as well to ensure data quality.
- Prepare – For extra efficiency, data preparation can be done by data scientists and business users with self-service data prep tools. This accelerates the time it takes to ensure data is fit for analytics and collaboration. It’s also an important foundation for data marketplaces, where users can share the data they’ve prepared.
- Define – At this stage, you define and verify data using data governance policies.
- Catalog – Another foundation to a data marketplace, data cataloging helps data scientists and business users discover, catalog, and curate all enterprise data. This helps users make better informed decisions when they can discover information from around the enterprise.
Here’s a visual that illustrates these steps. You can see there are three other steps after catalog: relate, protect, and deliver. Those are topics for another blog post. If you’re wondering, “CLAIRE” in the graphic is the CLAIRE engine, the AI and machine learning technology of our Informatica Intelligent Data Platform.
In the meantime, if you want to learn more about data marketplaces, how they are active data store fronts for big data analytics, and how to build one, download our practical workbook, “Turning a Data Lake into a Data Marketplace.”
Until next time!
Source: Informatica Perspectives
MicroStrategy recently produced a comprehensive video for Gartner that details how our platform delivers the full spectrum of analytics forRead more…
MicroStrategy recently produced a comprehensive video for Gartner that details how our platform delivers the full spectrum of analytics for our customers. It highlights the critical capabilities that Gartner focuses on for its analyses in its annual Magic Quadrant—capabilities that help make every enterprise a more Intelligent Enterprise.
The National Retail Federation forecasts that sales will be up 4.1 percent(i) in the 2018 holiday shopping season, but an increasingRead more…
The National Retail Federation forecasts that sales will be up 4.1 percent(i) in the 2018 holiday shopping season, but an increasing number of stores will be closed on Thanksgiving Day 2018(ii). How does this make sense?
The reality is that customers shopping behavior has changed and retailers are adopting. While Black Friday is still the busiest shopping day for stores kicking off the holiday season, the number of people visiting stores is declining.
It doesn’t mean that people will buy less. They just shop differently. Online, mobile, or via apps–or any combination of these. Spending time with family and friends is becoming more important than shopping in store.
For retailers, like any other product-selling business, it’s becoming more crucial than ever to:
- Reach their buyers via targeted online and social media campaigns
- Provide relevant and trusted product content across their sales channels
To compete in the Black Friday deal jungle, the customer experience must be seamless, personalized, emotionally engaging, and hyper-consistent across all channels.
A recent report from Aberdeen says that master data management (MDM) and master data-fueled business applications (e.g. Product Information Management or PIM) can help companies reach their goal of delivering seamless customer experiences.
Furthermore, Aberdeen indicates that survey respondents using MDM to manage their product data achieve greater annual performance growth, decrease costs, and drive revenue growth. Plus, a single view of content helps them establish operational efficiencies.
As opposed to non-users, companies using MDM see results, such as:
- 76 percent greater annual revenue growth
- 5x decreased annual services costs
- 3x greater annual profit margin per customer
Here are three key takeaways from the Aberdeen report that’ll help your business deal with changing customer expectations and deliver consistent omnichannel experiences all year-round–not only during Black Friday and the holiday season.
1.Build a trusted master data-fueled view of product information
Build a trusted master data-fueled view of product information throughout your business. This will allow you to achieve significant performance gains, including growing brand awareness, reducing shopping cart abandonment rates, increasing customer spend, and decreasing costs.
2.Content is key
Content is key for companies to deliver engaging omnichannel customer experiences. Without providing rich, up-to-date, relevant product information to B2B customers or end-consumers, companies can’t truly personalize customer interactions. However, managing the growing complexity of product data stored across various disparate systems—such as ERP, digital asset management, and e-commerce—is no easy feat. Research shows that firms using MDM are far more likely to alleviate their challenges in using product information to do their job.
3.Use the right tools
To unleash the greatest performance results, business users (e.g., supply chain managers, marketers, and commerce employees) need the right applications to collect and use the right data that MDM will integrate across the business. As you keep an eye on building a single view of your multidomain data, also ensure that your employees are empowered with the right tools to create, collaborate on, and manage this data.
(i) Amadeo, Kimberly. (2018, October 29). What is Black Friday? Sales and Trends: How Much Do Americans Spend on Black Friday?
(ii) Dengler, Phil. (2018, November 6). Stores Closed On Thanksgiving Day 2018
Source: Informatica Perspectives
IDC predicts that our digital universe—the data we create and copy—is growing by 40% each year, and that by 2020,Read more…
IDC predicts that our digital universe—the data we create and copy—is growing by 40% each year, and that by 2020, it will contain nearly as many digital bits as there are stars in our physical universe.
As a CIO, you know the value of finding, developing, and retaining talented workers and the incredible challenge it hasRead more…
As a CIO, you know the value of finding, developing, and retaining talented workers and the incredible challenge it has become in today’s highly competitive market.
The Alliance is a book about understanding the state of loyalty and trust between employers and employees today—and how to rethink how to build relationships for a stronger, more stable workforce. Authors Ben Casnocha, Chris Yeh, and LinkedIn Cofounder and Chairman Reid Hoffman believe there currently exists a “fundamental disconnect in modern employment” where working relationships have become too transactional, and it’s hurting everyone.
They argue that employers are struggling to retain a more transient workforce and feel reluctant to develop their competitors’ future workers as a result. In turn, employees feel disposable and vulnerable. Both sides are hedging their bets, and everyone’s worse off for it. In The Alliance, the authors offer a new relationship model between employers and employees that aims to rebuild “mutual trust, mutual investment, and mutual benefit” in the modern employment framework.
Developing talent with “tours of duty”
Hoffman, Casnocha, and Yeh make the case that our professional relationships have not kept pace with a rapidly changing world. Where old industry titans used to offer “lifelong employment in exchange for loyal service,” today they’ve been disrupted by lean, hungry, agile competitors with different values. The disruptors prize a flexible, entrepreneurial, and innovative workforce over individuals with deep specialization in a single discipline.
But in withdrawing the guarantee of long-term employment, employers are actually doing less to nurture the traits they seek. Without stable footing on which to grow, employees plan their careers in ever-shorter increments, ready to leave at any moment to pursue personal ambitions or development opportunities elsewhere. Employers, the authors argue, must acknowledge the fast pace of business change, and work with it for the mutual benefit of both sides.
The authors champion a new spin on career progression. “Tours of duty” are short-term, objective-oriented engagements that explicitly guarantee forward momentum for both sides. Employer and employee put their cards on the table—about what they want to achieve, how they plan to grow, and to what degree their long-term ambitions are compatible—and devise a mutual strategy.
The book outlines three formats for tours of duty: rotational, foundational, and transformational. For me, the first two aren’t new ideas. They rationalize existing working practices into the alliance model—i.e., new starters “rotating” around the business to learn the ropes, and “foundational” visionaries whose careers become fundamentally entwined with their companies (think Jony Ive at Apple, Fred Smith at FedEx, or Ginni Rometty at IBM).
Transformational tours of duty, on the other hand, are where I think “alliances” can be really powerful.
Making alliances transformational
The transformational tour of duty sets the employee on a course to complete an initiative that is transformational both for the company and for the employee’s experience and skill set.
“A transformational tour is personalized,” the authors write. “The focus is less on a fixed time period and more on the completion of a specific mission. It’s negotiated one-on-one by you and your employee. … The central promise of a transformational tour is that the employee will have the opportunity to transform both his career and the company.”
The company’s “transformation” might be launching a new product line, hitting pre-agreed revenue targets, or achieving thought leadership in a specific market category. For employees, a successful tour might mean gaining technical, functional, or managerial experience, developing knowledge in a new area, or building a personal brand inside (and outside) the company that makes them more marketable.
Some tours pursue large goals, while others represent small but definite progress toward larger milestones.
Tour after tour
Though a “tour of duty” inherently has a limited scope or time frame, alliances aren’t always short-term. The book is packed with examples of high-profile LinkedIn alumni, whose initial tours evolved into multiple successive tours—some for their entire career.
What the authors lay out here is not a way to define employment as short-term, but a way to keep employees engaged for the duration of their time in your company. This focus on a short- and medium-term value exchange, paradoxically, can lead to longer and more successful employment relationships.
For CIOs constantly battling attrition, rapidly shifting needs, and a job market where essential talent is scarce, The Alliance provide a formula that can build more resilient teams and longer-term, better-engaged employees.
The post The CIO Reading List: The Alliance appeared first on The Informatica Blog – Perspectives for the Data Ready Enterprise.
Source: Informatica Perspectives
Source: Informatica Press Releases
Source: Informatica Press Releases
MicroStrategy World 2019, scheduled for February 4–6, is shaping up to be a sun-sational start to the new year forRead more…
MicroStrategy World 2019, scheduled for February 4–6, is shaping up to be a sun-sational start to the new year for analytics professionals around the globe. Personalized, immersive, and with a inspiring focus on the future, the forward-looking innovation and insights featured at this year’s event are sure to give next-gen tech enthusiasts the chills—even in the vibrant warmth of the Phoenix sun.
One of my favorite quotes (often attributed to Albert Einstein) says “The only reason for time is so that everythingRead more…
One of my favorite quotes (often attributed to Albert Einstein) says “The only reason for time is so that everything doesn’t happen at once”. I have come to think about this saying many times in my personal life, but recently I have come to think about it while helping one of our customers define their roadmap toward digital transformation. This customer, similar to many other enterprises, is struggling to integrate data that has different timing patterns – some things that happen now needs to be handled later while others require immediate action.
Today’s work environment requires communication in different types of “time domains”. For example, my typical morning starts with going through emails and replying to them – many times after conducting some internal discussions. Later I often find myself attending conference calls with multiple participants where I have to provide feedback in real time. Over lunch I might reply to an instant message from a college that needs a quick reply to handle another issue.
All of these happen in multi latency – which is a challenge that is extremely relevant in modern data environments:
- Handling emails is in a way a type of “batch” Aggregated items from multiple time domains are handled at an asynchronous manner and in “low latency” (which for me means typically in the mornings and then a few times later during the day)
- Conference calls are real-time data communications between parties all of which are actively engaged during the call. If I watch a recording of someone’s else call at a later time this reverts back to “batch” mode.
- Messaging (SMS or other) are event-driven communications – short and specifically triggered for a relevant query. They are commonly used for a quick transfer of small amounts information (though I know some people that can share extremely long stories via SMSs ;-))
An integration hub is modern integration solution that’s all about synchronizing between data applications and system at the right time
- The integration hub transient persistence layer allows it to be extremely useful for batch processing. Data can be published to the hubs “Topics” and consumed by other applications at a variety of different latencies with elaborated scheduling mechanisms.
- The integration hub also handles real time data use cases:
-Using streaming engines connectivity (such as Kafka) and utilizing a Big Data Streaming engine – allows for real time data to be published into a persistence and read at lower latency at any time
-An effective integration Hub should also support Kafka integration with the ability to create Kafka Topics and monitor Kafka producer and consumer flows
- Data Driven integration should be performed using new types of publications and subscriptions which allow applications to write or read from the hub with a direct REST API
In the rapidly changing world, successful data-driven digital transformation requires a modern approach to integrating complex data ecosystems. Learn more about the Informatica Integration Hub, and how it enables you to orchestrate, unify, govern, and share your data and allows you to seamlessly manage mixed latency data delivery: data driven, real-time or batch, to all systems.
The post Timing Is Everything (for Data Integration) appeared first on The Informatica Blog – Perspectives for the Data Ready Enterprise.
Source: Informatica Perspectives
As once-common objections and concerns around moving to the cloud (such as security) begin to wane, organizations are identifying andRead more…
As once-common objections and concerns around moving to the cloud (such as security) begin to wane, organizations are identifying and prioritizing business initiatives that might benefit most from a cloud deployment. Business intelligence and analytics is at the top of that list.
The Intelligent Enterprise represents the ultimate data-driven organization. It injects data at the heart of its business and inspires anRead more…
The Intelligent Enterprise represents the ultimate data-driven organization. It injects data at the heart of its business and inspires an information-first culture. It fuels every person, device, and application with on-the-fly insights, predictions, and recommendations for smarter everyday decisions. It celebrates data, understands its customers, and provides products and services tailored to their personalized needs. In a world where departmental silos of information don’t cut it anymore, the Intelligent Enterprise goes well beyond traditional analytics and basic data discovery, elevating knowledge across the workforce.