Metrics and KPIs for Knowledge Groups – Atlan


Examples of Quantification from the Atlan Neighborhood

Survey outcomes from Vendr’s SaaS Traits Report (Q3 2023) affirm what many information groups have already skilled: It’s getting loads more durable to put money into new applied sciences and approaches. Purchases are down 37% year-over-year, and scrutiny over the price and advantage of investments imply that greater than half the time information groups spend contemplating the appropriate expertise is spent on negotiation, alone.

With growing scrutiny on the price of current expertise and groups, and better requirements for investing in new applied sciences and assets, information groups are sometimes requested to speak the worth of their applications and proposed initiatives. The place technical advantages have been as soon as persuasive sufficient to shut gaps and inefficiencies in course of and expertise, information groups should deal with extra planes of worth, and start to quantify the operational advantages, and enterprise worth, of their work.

Knowledge leaders all through the Atlan Neighborhood have already begun this important change, transferring past funding arguments that embrace modernity, scalability, velocity, and consumer expertise. Within the under examples, you’ll see meticulous measurement of the progress of their applications, the operational advantages yielded by information groups and customers, and the enterprise worth their information helped to unlock.

Discovering, Measuring, and Speaking Worth

The frequent thread of all worth measurement is baseline evaluation. Whether or not information groups are beginning an enrichment program, automating a key workflow, or delivering new capabilities or information to their customers, taking a second to know the “earlier than state” makes it potential to measure your influence as your work progresses, then completes.

Within the Atlan Neighborhood, we see three ranges of worth and related Metrics and KPIs that information groups can and ought to be measuring:

  1. Program Worth – Holding information groups and stakeholders to account on the tempo, completeness, and high quality of their work.
  2. Operational Worth – Understanding the operational advantages and quantified efficiencies of latest applications, processes, and applied sciences.
  3. Enterprise Worth – Transferring past the “information as a service” mannequin, and into considered one of partnership with the enterprise, understanding the influence of knowledge and analytics outputs on enterprise initiatives.

1: Program Worth

The primary stage of measurement for information groups is that of their applications. From understanding the satisfaction of their finish customers to monitoring stakeholder contributions, there are quite a few “low-hanging fruit” metrics that ought to be recorded and communicated to stakeholders and leaders.

Outlined by progress towards your workforce’s objectives, and suggestions out of your finish customers, information groups ought to pay cautious consideration to the relative enhancements they make by new applied sciences and processes, constantly converse with and survey information customers, and set measurable objectives for his or her stakeholders to decide to.

Monitoring Stakeholder Contribution

Swapfiets, the world’s first bicycle subscription service, launched their Knowledge Governance program by providing a self-service, trendy information catalog on Atlan. Key to their success is a daily collaborating and reporting cadence, with six cross-functional Knowledge Governance Committees composed of knowledge analysts, information house owners, and information stewards throughout their enterprise domains.

In that month-to-month assembly, we deal with three governance matters, that are possession, documentation, and high quality. For documentation and possession, Atlan is de facto helpful. It’s additionally helpful for high quality to search out out the place within the information lifecycle high quality points come up. Throughout the assembly, we write out motion factors and decide to duties like verifying extra phrases.”

Lisa Smits, Knowledge & Analytics Workforce Supervisor

Swapfiets now maintains 125 outlined metrics throughout these six enterprise domains, and with month-to-month committee conferences, has created a mechanism for accountability and attribution, and a platform for repeatedly reporting their progress towards enrichment objectives.

Quantifying Expertise & Satisfaction

Utilizing experiential or NPS surveys, or a proxy metric like Slack messages, tickets, or escalations, are all doubtlessly efficient methods to quantify consumer satisfaction. Essential to speaking a transparent before-and-after is gathering a baseline measurement previous to releasing new tasks or experiences. 

For instance, measuring the variety of information questions a Knowledge Engineering workforce receives previous to the discharge of a glossary, then three months into its adoption, paints a transparent image of adjusting consumer behaviors that may be simply communicated with stakeholders. 

Chargebee, a market-leading answer for recurring income administration, makes use of Atlan to create reusable information merchandise, and to satisfy a rising inner urge for food for information. Earlier than the introduction of self-service, Chargebee’s Knowledge Engineering workforce was chargeable for responding to requests for information. Additionally chargeable for delivering information to Chargebee’s prospects, their Knowledge Engineers usually needed to de-prioritize inner requests.

This was an enormous problem. Inside information requests have been pushed to the again of the queues as prospects have been all the time a precedence. This meant that we weren’t assembly SLAs and there was unhappiness amongst our stakeholders and many escalation, which led to unhappiness inside the workforce as properly.”

Lloyd Lamington, Enterprise Options Supervisor, Chargebee

Previous to implementing Atlan, Lloyd and his workforce fastidiously scoped their “earlier than state”, logging the variety of information requests acquired per quarter, what number of of them have been repetitive or requested for uncooked information, and the variety of escalations when SLAs have been missed attributable to de-prioritization.

With a baseline established, Chargebee’s information workforce have been capable of quantify important enhancements after launching Atlan to assist self-service, and that zero escalation requests have been acquired because the rollout.


2: Operational Worth

Past monitoring consumer satisfaction and stakeholder contribution, important alternative exists for information groups to save lots of price, and drive efficiencies in the way in which that they, and their end-users, function.

Essential to correct measurement, and a compelling narrative to speak to management and stakeholders, is establishing a baseline measurement, or “earlier than state” to check enhancements in course of and expertise towards. Instruments for establishing these baseline measurements could embrace:

  1. Monetary Evaluation – Retaining a radical report of the price of consumer licenses, compute, and information storage.
  2. Effort Scoping – Figuring out the accountable workforce members, and the trouble, price, and time required of competing approaches or applied sciences.
  3. Knowledge Workforce Surveys – Figuring out how a lot time is spent on servicing requests, repetitive duties, and diagnosing breakages.
  4. Knowledge Client Surveys – Figuring out how a lot time is spent on information discovery, or how lengthy their requests take from submission to closure.
  5. Analyzing Methods – Calculating common undertaking completion occasions or the amount of tickets in instruments like Jira, or measuring the typical variety of Slack messages and the time their underlying points take to finish.

With a baseline established, any enhancements to groups, processes, and expertise can and ought to be measured towards it, then communicated to stakeholders and management.

Measuring Price Financial savings

Acquainted to many information groups are potential price saving alternatives, similar to optimizing information warehouse belongings or deprecating unused dashboards, eradicating unutilized information pipelines, or optimizing costly queries.

Mistertemp, a frontrunner in recruitment and non permanent staffing based mostly in France, adopted Atlan to enhance the navigability and usefulness of their newly applied trendy information stack.

Previous to implementing Atlan, Mistertemp’s coverage of connecting with supply information, then figuring out what was helpful after the very fact, was resulting in important technical debt, and lowered the navigability of their information property.

All these fast selections created a whole lot of belongings in Snowflake that mainly with no enterprise use have been by no means actually touched or by no means actually documented or by no means actually related to our BI instrument or every other instrument. So they only stayed there being synchronized, costing us cash.”

David Milosevic, Head of Knowledge and Analytics, Mistertemp

Utilizing automated lineage and recognition metrics, David and his workforce decided that of their 30,000 information belongings in Snowflake, simply one-third have been used within the previous 12 months. These belongings have been then deprecated, considerably enhancing the navigability of their information property, and decreasing pointless price and energy to keep up them.

Operational Worth for Knowledge Groups

Measuring Time-to-value for Technical Implementations

There are myriad choices for information groups implementing new applied sciences and tasks, from hand-coding, to open-source instruments, to an array of SaaS options. However key to quantifying the worth of those efforts is cautious evaluation of the trouble concerned in every of those options.

Within the case of changing or modernizing current applied sciences, information groups ought to take care to stock the technical and experiential shortcomings of their legacy expertise, and punctiliously scope the trouble expended on their earlier method, drawing a transparent comparability between new and outdated.

Porto, a Brazil-based insurance coverage and banking chief with 13 million purchasers, sought to switch a legacy information catalog to maximise the ROI of their information stack, and enhance information literacy throughout their group.

We used to have an information catalog. We had Informatica EDC. The motivation to search for a special answer got here from some difficulties in implementing sure options like lineage, a enterprise glossary. It was type of irritating, and it got here to some extent the place we felt just like the expertise was type of blocking us from reaching the place we wished to go.”

Danrlei Alves, Senior Knowledge Governance Analyst, Porto

Selecting Atlan to switch their legacy catalog, Porto’s workforce rapidly built-in key information sources, then used customized metadata fields as a migration goal for his or her current documentation, metadata, and relationships between tables, columns, schemas, and databases.

In simply six weeks, Porto’s information workforce launched their new catalog, with content material at parity with their legacy answer. However by drawing on expertise with their earlier answer, and maintaining a selected stock of the enhancements they desired, Porto’s workforce have been ready to attract a stark comparability between the 2 options, attaining in six weeks what as soon as took them greater than 2 years, speaking important enhancements in time-to-value.

Within the case of one-time tasks, information groups should spend time estimating the trouble concerned in every proposed method, inclusive of the variety of workforce members to allocate, time spent for every of those workforce members throughout the period of the undertaking, and the estimated completion date.

Tide, a UK-based digital financial institution with almost 500,000 small enterprise prospects, sought to enhance their compliance with GDPR’s Proper to Erasure. Making certain all private information was deleted upon request first meant aligning on what constituted private information, then figuring out the place that information lived and the way it moved by their structure. With a complicated information property, the handbook effort concerned was in depth.

Individuals must go into the databases and attempt to translate my checklist of non-public information parts. There have been 31 parts to search out in our databases, and now we have greater than 100 schemas, every with between 10 to twenty tables. So it might be a whole lot of work to establish it. If we have been very diligent and did it for each schema, then it might most likely be half a day for every schema. So half a day, 100 occasions.”

Michal Szymanski, Knowledge Governance Supervisor, Tide

Utilizing rules-based bulk automation in Atlan, the Tide workforce was capable of establish, tag, and safe this private information in mere hours, a powerful feat in and of itself. However by first scoping the baseline handbook effort wanted to finish the method, Tide’s information workforce have been capable of report almost 50 days of effort saved.

Measuring Knowledge Service Effort

For a lot of information practitioners, a relentless back-and-forth answering easy questions from information customers is a big drag on productiveness. Although this drawback is simple to know, information groups ought to take care to measure the influence these requests have on their productiveness. 

By surveying workforce members to know the period of time they spend on these questions, and by together with a measurable metric like Slack messages acquired or tickets processed, information groups can create a transparent baseline of effort, towards which they’ll quantify productiveness beneficial properties.

Octane, a speciality lender providing financing for powersports automobiles, makes use of Atlan to doc their information belongings, then make them accessible through self-service. Previous to introducing Atlan, questions on Octane’s information have been answered in a shared Slack channel, the place their Knowledge Engineering workforce was chargeable for responding. 

Aware of the potential effectivity advantages of introducing self-service with Atlan, Octane’s Knowledge Product Supervisor, Alex Bendix, analyzed the period of time their workforce spent on these questions.

Every engineer was answering questions 10 to twenty% of their time. And then you definately multiply that over a sure variety of staff throughout the workforce, that’s a whole lot of hours monthly that you simply’re dropping by way of productiveness.”

Alex Bendix, Knowledge Product Supervisor

By meticulously quantifying the period of time their workforce spent answering questions on information, and measuring the variety of Slack messages the workforce was receiving after implementing Atlan, Alex and his workforce have been capable of report that they have been now saving 200 hours of Knowledge Engineering effort monthly.

Measuring Efficiencies by Eliminating Repetitive Duties

Just like measuring the trouble expended answering questions, information groups also needs to take care to measure the trouble they expend on recurring duties, setting a baseline of effort to measure productiveness beneficial properties from options similar to automation.

Past their documented success accelerating implementation time, Porto’s Knowledge Governance workforce has additionally quantified recurring financial savings from automating beforehand handbook duties.

Danrlei and his workforce began by figuring out repetitive work, together with assigning house owners, documenting belongings, and securing private information, then created a framework to make sure that solely the info belongings that demanded their private consideration have been surfaced to the Knowledge Governance workforce.

If we contemplate all the pieces we’re doing now with Atlan in comparison with earlier than we had Atlan, we’re saving 40% in effectivity, by way of time and costly operational duties for all the pieces associated to governance. It is a 40% discount of 5 individuals’s time. We’re utilizing the time financial savings to deal with optimizing our processes and upleveling the kind of work we’re doing.”

Danrlei Alves, Senior Knowledge Governance Analyst, Porto

With these automations operating towards an information property of over 1 million belongings, Danrlei and his workforce have been rapidly capable of establish the lowered quantity of governance duties they have been now chargeable for, then report this important enchancment.

Measuring Time-to-resolution

Lastly, productiveness beneficial properties from accelerating “fireplace drill” duties like Root Trigger Evaluation, or tough investigatory duties like Impression Evaluation, additionally profit from a transparent accounting of effectivity beneficial properties. Fortunately, with these workstreams usually managed on instruments like Jira, measuring reductions in time-to-resolution will be so simple as analyzing effort and time spent on these duties earlier than and after enhancements.

Takealot, a South African eCommerce and Retail chief, makes use of Atlan to enhance technical understanding of their information property, and drive enterprise self-service. Previous to Atlan, every time Takealot’s information workforce have been knowledgeable of a bug, they’d conduct conventional dash planning, figuring out the time wanted to analyze and resolve the problem.

By analyzing these decision workstreams, their workforce decided they have been spending half of their time investigating the issue and figuring out the placement of a breakage, setting a baseline metric to enhance towards. Then, by using automated column-level lineage on Atlan, the Takealot workforce might extra rapidly examine the foundation trigger of knowledge points, chopping their difficulty decision time in half.

As an alternative of trawling by all of the code, you possibly can rapidly comply with lineage backwards and verify it at each level to see what’s taking place. Earlier than, it might take every week or two weeks relying on how tough a bug was to handle, with 50% of that point being investigating what the issue was and the place it’s damaged earlier than truly making use of the repair and getting it into manufacturing. I’d say we’ve most likely halved that point.

Group BI Supervisor, Takealot

Operational Worth for Knowledge Shoppers

Measuring Friction in Knowledge Discovery

Whether or not points with navigability, strict entry controls, or restricted context, there are myriad causes information customers have a tough time discovering and understanding the info accessible to them. With a purpose to perceive the place to make enhancements, and to measure the advantage of these enhancements, information groups ought to analysis the trouble their end-users expend on these actions.

Nasdaq, chargeable for their eponymous inventory alternate in New York Metropolis, and an array of expertise and monetary service merchandise, makes use of Atlan to evangelize their information technique and enhance their governance observe.

Key to their implementation course of was time spent surveying Nasdaq’s information customers, driving higher understanding of how the info workforce might enhance their technique of discovering and making use of information.

Almost 100 customers responded to the survey, with 75% of respondents reporting spending time attempting to know information. Respondents who spent six hours or extra hours pers week on information, spent two of these hours attempting to know the context round what they already had entry to.

Take into consideration that! A 3rd of their time each week is spent simply attempting to know what’s there. Think about if we might deliver a product in that helps scale back that effort and actually permits them to get proper to the guts of the issue — to drive information merchandise from insights into the enterprise. And that’s what we’re attempting to get to.”

Michael Weiss, Senior Product Supervisor, Nasdaq

With this survey information in-hand, and a mechanism for enhancing the invention expertise for his or her information customers, Michael and his workforce have a “North Star” metric to measure their success, doubtlessly representing a whole lot of 1000’s of {dollars} in financial savings in information client effort, alone.

Measuring Time to Perception

For information groups which have a service-driven relationship with their information customers and prospects, baseline measurement of the time processes take to finish, like constructing dashboards or finishing queries, makes it easy to speak the impact of course of enhancements and new applied sciences.

Infillion, a Digital Media Platform serving the Fortune 50 and extra, makes use of Atlan to sew collectively a fancy information property, and supply data-driven insights to their prospects

A vital a part of their Enterprise Intelligence workforce’s duties are supporting account groups, whose prospects anticipate frequent, correct reporting on advertising marketing campaign efficiency. Beforehand processed manually, these requests would take as many as three weeks to finish, with one week of ready for Knowledge Engineering bandwidth, and one other two to supply a report.

Utilizing Atlan Scheduled Queries, Daniel’s workforce now spends half-hour or much less responding to requests for information, eliminating the necessity for scarce Knowledge Engineering assets, and reporting a 3-week time financial savings for his or her enterprise companions and prospects on every request.

It’s allowed us to completely automate reporting with none engineering assets and develop into self-sufficient, and it’s positively eliminated a giant bottleneck in our course of. A 3-week ready interval is simply not scalable. So this positively reduce that all the way down to a half an hour, perhaps much less, to arrange.

Daniel Chon, Director of Enterprise Intelligence, Infillion

Measuring Effort

Lastly, on a extra subtle stage, an in depth stock of the duties information customers undertake, mixed with an evaluation of the trouble expended and common personnel price for every of those duties, is a labor-intensive, however highly effective instrument for measuring the particular influence of an information workforce’s efforts.

Zip, a digital monetary service firm and buy-now-pay-later pioneer, makes use of Atlan to assist their information customers rapidly, reliably, and simply discover, perceive, and use the capabilities of their trendy information stack.

Leroy Kahn, Zip’s Knowledge Administration Lead, developed a mannequin to estimate the enterprise worth yielded from every exercise his colleagues would carry out on Atlan, and a course of to trace the amount of those actions as a part of their enterprise case for a contemporary information catalog.

Via consumer surveys, and the alternatives to enhance that they inventoried throughout duties involving discovering, sharing, understanding, and utilizing Zip’s information, Leroy decided a median period of time saved for every exercise or occasion sort for Atlan customers. Based mostly on common wage, every minute of time saved was value $1 (AUD) in effectivity beneficial properties, which might then be multiplied by the point saved per occasion in Atlan.

By analyzing utilization metrics, Leroy and his workforce have been capable of account for every exercise carried out on Atlan throughout a 30-day interval, evaluating it towards the time and greenback financial savings, projecting $390,000 AUD in effectivity beneficial properties.


3: Enterprise Worth

Whereas measuring the efficiency of knowledge workforce applications, and punctiliously recording the worth of operational enhancements is vital, there are a restricted variety of alternatives to make these enhancements. With a purpose to proceed speaking the worth of their work, information groups should try to know what information is used for, and to what impact. This necessitates transferring past a mannequin the place requests are serviced, and towards a mannequin of partnership with enterprise customers.

Whereas information groups might need grown accustomed to constructing new capabilities or servicing requests which are then picked up by an analyst or data-savvy enterprise consumer, transferring past this paradigm means understanding the aim of those requests, and following up on their influence.

Knowledge groups can start placing this into observe by recording a enterprise aim every time a request is made. From a easy stock of which groups or colleagues made these requests, to extra complicated information of tasks like decreasing buyer churn or figuring out cross-sell or up-sell alternatives, information groups can start evaluating their work towards achievement of enterprise aims, and following up for particular anecdotes of what influence these insights made.

A quick-growing pet care firm is among the many finest examples of enterprise worth measurement within the Atlan Neighborhood. After migrating to a brand new telecommunications system, their name heart workforce was underperforming, resulting in diminished buyer engagement, and lack of income.

Whereas information was accessible from their new system, its format was distinctive to telecommunications methods, dubbed a Name Element Report (CDR), making it tough for his or her Knowledge Analysts to analyze the issue and suggest an answer.

I’ve labored in conditions like this earlier than, and if we didn’t have Atlan it might have taken six months. We’d be answering questions like ‘What do you imply by occasion code?’ or ‘What’s the distinction between extension quantity and regroup quantity?’.”

Knowledge Governance Lead

Utilizing Atlan, a member of their workforce with Telecommunications expertise labored to narrate Snowflake belongings with CDR information, and translated, then documented what every of the info factors meant. Now capable of perceive the context round this information in a self-service method, their Knowledge Analysts rapidly carried out their evaluation in PowerBI, and recognized three core issues for under-performance.

Taking an Operational Worth lens to this achievement, their information workforce might report that they have been capable of assist this evaluation in 30 days with Atlan, quite than 6 months. However by sustaining a detailed relationship with their counterparts within the enterprise, and by maintaining knowledgeable about how information evaluation drove a decision, their information workforce can now report that they supported a ten% enhance in bookings by their name heart, a big enhance in income, and a mission-critical achievement.

Whereas fastidious reporting on Program Worth and Operational Worth are essential, information groups who construct robust relationships with their enterprise counterparts, and have the curiosity and persistence to know how their work is used downstream, can tie their work to a very powerful issues their organizations are dealing with.


Key Takeaways

Throughout Program, Operational, and Enterprise worth, one of the best examples of quantification within the Atlan Neighborhood have quite a lot of key commonalities.

  1. Curiosity about, and dedication to, the worth of their groups, applications, processes, and expertise.
  2. Constant assortment of quantitative and qualitative information previous to funding or modifications to processes or expertise.
  3. A mechanism for capturing modifications in conduct, sentiment, or effort, constantly measured towards a baseline and communicated to stakeholders and leaders.

Picture by Patrick Perkins on Unsplash

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